32 Data Integrity jobs in London
Global Data Governance Lead - Data Layer
London, London
Boston Consulting Group
Posted today
Job Viewed
Job Description
*Locations*: Boston | Atlanta | London
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
What You'll Do
Join the Data Layer Team, a global initiative transforming our organization into a data-driven enterprise! The Data Layer Team builds essential data platforms, products, and capabilities to empower our Case Teams (CTs) and Practice Areas (PAs) with high-quality, actionable insights. Our focus is on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company.
The Data Governance Lead will serve as the strategic and operational leader responsible for developing, implementing, and managing the organization's data governance framework. This individual will play a pivotal role in ensuring data integrity, security, compliance, and usability across the enterprise while driving data quality, consistency, and maturity through a robust data asset lifecycle management solution. Collaborating with cross-functional teams, including IT, legal, analytics, and business units, the Data Governance Lead will establish and enforce governance policies and best practices that align with the organization's strategic goals. This role demands a balance of strategic vision, operational expertise, and strong communication skills to foster a data-driven culture and ensure regulatory compliance while enabling innovation.
A central responsibility of the Data Governance Lead is to support and enhance the organization’s commercial offerings by unlocking the potential of underlying data assets. They will oversee the development of an enterprise-wide data catalog that not only ensures accessibility but also provides proactive, context-based recommendations to maximize usability. By aligning governance initiatives with business needs, the Data Governance Lead will empower teams to leverage data effectively for strategic decision-making and innovation, enabling the organization to maintain a competitive edge in its offerings.
Responsibilities include:
* Define an overall vision, roadmap, and priorities for Data Governance Strategy
* Design and implement a comprehensive data governance framework that aligns with organizational goals and industry standards.
* Act as a liaison between business units, IT, and senior leadership to advocate for and execute governance policies and priorities.
* Lead the establishment of a Data Governance Council or Committee to oversee
* Foster a culture of data responsibility and awareness through training programs and workshops.
* Promote the adoption of governance policies across the organization by communicating their benefits and relevance.
* Serve as a thought leader, staying informed about emerging trends and technologies in data governance.
* Data Ownership, Stewardship, and Lifecycle Management
* Define and assign roles, including data owners and data stewards, ensuring accountability for data assets.
* Provide guidance and support to data stewards and other governance roles across the organization.
* Develop and enforce policies for data creation, storage, retention, archival, and disposal.
* Regularly review and update lifecycle policies to ensure they remain relevant and compliant with regulatory requirements.
* Data Quality Management
* Define and enforce data quality standards, such as accuracy, completeness, and consistency as well as guidance on metadata (tags).
* Implement tools and workflows for data profiling, cleansing, and monitoring.
* Resolve data quality issues and identify opportunities for continuous improvement.
* Data Prioritization and Business Value
* Collaborate with stakeholders to identify high-priority data assets across commercial offerings & BCG's case assistant, Q's needs.and align resources accordingly
* Leverage advanced analytics to derive business insights and maximize the value of data assets.
* Create metrics and dashboards to track the effectiveness of data governance initiatives as well as ROI for data assets.
* Data Access and Security
* Oversee the implementation of role-based access controls (RBAC) to manage data access.
* Ensure sensitive data is protected through encryption, anonymization, and regular security audits.
* Monitor compliance with data access policies and address any violations.
* Data Platform Enablement
* Define and implement standards for integrating data governance capabilities into the enterprise data platform.
* Ensure the platform supports metadata management, lineage tracking, and data quality monitoring.
* Drive the adoption of platform features that enable scalability, accessibility, and compliance with governance policies.
* GenAI Enablement
* Define and implement GenAI-specific data usage guardrails and data governance policies
YOU’RE GOOD AT
* Articulating the vision and specific business value benefits to be unlocked by an enterprise-wide data strategy, whilst setting and implementing the corresponding enterprise-wide Data Governance roadmap, working across multi-functional, diverse teams to materialize them
* Defining and implementing global Data Governance requirements and frameworks, ensuring key capabilities and controls are implemented to enable efficient data accuracy, accessibility and consistency of use globally.
* Leading activities related to the Consulting Data Governance strategy, including Metadata Management, Data Lineage, Master Data mgmt., Data Quality, Data Architecture, and informing Data Product development priorities
* Sharing and adopting best practices, external and internal (across BCG Data Stewardship team) in Data Governance, Data Management, Stakeholder Management, Project Management and Change Management
* Collaborating with functional and technical team members (e.g. SMEs in HR, Finance, Enterprise Services and IT) to prioritize and pursue the business and technical initiatives in the roadmap to achieve a global data strategy
* Enabling BCG leaders to make relevant decisions (e.g. trade-offs and prioritization) to implement the global strategy defined for Consulting Team Talent data
* Developing analytics, frameworks and KPIs to drive a step-change in Data Quality Issue management, Data Security, Data Profiling and Data Governance maturity
* Adopting new technologies like GenAI to maximize data value potential
* Ensuring adherence to relevant data policies, standards, and guidelines, and maintaining relevant Data Governance artefacts across the data domain (for example, the Data Catalog, classification, and data quality standards of data elements)
* Communicating with senior executive teams the importance of the data strategy for the success of BCG
What You'll Bring
* 10-12+ years of experience working in data-related or project roles (e.g. Data Management, Data Governance, CDO Office or BI & Analytics team). Prior experience working with Consulting data like benchmarks or 3rd party sources and at a global level
* Passion and interest in solving business-oriented data challenges end-to-end, with demonstrated precision and attention-to-detail
* An understanding of Data Governance industry best practice is useful (such as DAMA’s DMBoK & CDMP, EDM Council’s DCAM)
* Understanding of data strategy and management concepts and associated business processes and tools, including Data Modelling, Data Warehousing, and Data Quality
* Strong customer and business focus with demonstrated ability to form effective working relationships and resolve conflicts
* Hands-on experience using Data Governance tools such as Data Catalogs and Data Quality Tools, preferably in the context of GenAI readiness
* Solid understanding of Consulting data constructs and domains (e.g. structured and unstructured data), data technologies (e.g., Snowflake) and core transactional systems (e.g., SharePoint) will be beneficial
* The ideal candidate will have a goal-oriented mindset and enjoy working with cross-functional teams to deliver Data Governance capabilities and support exceptional Data Products
* Strong communication skills with proven experience in stakeholder engagement (including senior business and technical teams) and the ability to showcase the business benefits of Data Governance.
* Bachelor’s or higher degree, preferably in computer science, mathematics, statistics, or related fields.
Who You'll Work With
* BCG Global Consulting Practice Areas (Functional & Industry) and Data teams: the Data Product Portfolio, Data Governance CoE, Master Data Mgmt., Enterprise Data Modelling, and Data Product development teams
* BCG IT, Knowledge Team and PA Specific data teams: business intelligence and analytics, operations, and technical teams, among other business functions
* BCG Leadership: Heads of IT, Consulting / Practice Areas, Knowledge Function, and Enterprise Services among other business functions.
* The Data Governance network: Data Owners, Stewards, and Data Governance Directors
* Data Layer Team – Collaborating closely with data engineers, lead enterprise architects, data stewards, data product analysts, and QA engineers to develop, maintain, and enhance BCG’s data products and infrastructure.
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
BCG is an E - Verify Employer. (Click here )( for more information on E-Verify.
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
What You'll Do
Join the Data Layer Team, a global initiative transforming our organization into a data-driven enterprise! The Data Layer Team builds essential data platforms, products, and capabilities to empower our Case Teams (CTs) and Practice Areas (PAs) with high-quality, actionable insights. Our focus is on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company.
The Data Governance Lead will serve as the strategic and operational leader responsible for developing, implementing, and managing the organization's data governance framework. This individual will play a pivotal role in ensuring data integrity, security, compliance, and usability across the enterprise while driving data quality, consistency, and maturity through a robust data asset lifecycle management solution. Collaborating with cross-functional teams, including IT, legal, analytics, and business units, the Data Governance Lead will establish and enforce governance policies and best practices that align with the organization's strategic goals. This role demands a balance of strategic vision, operational expertise, and strong communication skills to foster a data-driven culture and ensure regulatory compliance while enabling innovation.
A central responsibility of the Data Governance Lead is to support and enhance the organization’s commercial offerings by unlocking the potential of underlying data assets. They will oversee the development of an enterprise-wide data catalog that not only ensures accessibility but also provides proactive, context-based recommendations to maximize usability. By aligning governance initiatives with business needs, the Data Governance Lead will empower teams to leverage data effectively for strategic decision-making and innovation, enabling the organization to maintain a competitive edge in its offerings.
Responsibilities include:
* Define an overall vision, roadmap, and priorities for Data Governance Strategy
* Design and implement a comprehensive data governance framework that aligns with organizational goals and industry standards.
* Act as a liaison between business units, IT, and senior leadership to advocate for and execute governance policies and priorities.
* Lead the establishment of a Data Governance Council or Committee to oversee
* Foster a culture of data responsibility and awareness through training programs and workshops.
* Promote the adoption of governance policies across the organization by communicating their benefits and relevance.
* Serve as a thought leader, staying informed about emerging trends and technologies in data governance.
* Data Ownership, Stewardship, and Lifecycle Management
* Define and assign roles, including data owners and data stewards, ensuring accountability for data assets.
* Provide guidance and support to data stewards and other governance roles across the organization.
* Develop and enforce policies for data creation, storage, retention, archival, and disposal.
* Regularly review and update lifecycle policies to ensure they remain relevant and compliant with regulatory requirements.
* Data Quality Management
* Define and enforce data quality standards, such as accuracy, completeness, and consistency as well as guidance on metadata (tags).
* Implement tools and workflows for data profiling, cleansing, and monitoring.
* Resolve data quality issues and identify opportunities for continuous improvement.
* Data Prioritization and Business Value
* Collaborate with stakeholders to identify high-priority data assets across commercial offerings & BCG's case assistant, Q's needs.and align resources accordingly
* Leverage advanced analytics to derive business insights and maximize the value of data assets.
* Create metrics and dashboards to track the effectiveness of data governance initiatives as well as ROI for data assets.
* Data Access and Security
* Oversee the implementation of role-based access controls (RBAC) to manage data access.
* Ensure sensitive data is protected through encryption, anonymization, and regular security audits.
* Monitor compliance with data access policies and address any violations.
* Data Platform Enablement
* Define and implement standards for integrating data governance capabilities into the enterprise data platform.
* Ensure the platform supports metadata management, lineage tracking, and data quality monitoring.
* Drive the adoption of platform features that enable scalability, accessibility, and compliance with governance policies.
* GenAI Enablement
* Define and implement GenAI-specific data usage guardrails and data governance policies
YOU’RE GOOD AT
* Articulating the vision and specific business value benefits to be unlocked by an enterprise-wide data strategy, whilst setting and implementing the corresponding enterprise-wide Data Governance roadmap, working across multi-functional, diverse teams to materialize them
* Defining and implementing global Data Governance requirements and frameworks, ensuring key capabilities and controls are implemented to enable efficient data accuracy, accessibility and consistency of use globally.
* Leading activities related to the Consulting Data Governance strategy, including Metadata Management, Data Lineage, Master Data mgmt., Data Quality, Data Architecture, and informing Data Product development priorities
* Sharing and adopting best practices, external and internal (across BCG Data Stewardship team) in Data Governance, Data Management, Stakeholder Management, Project Management and Change Management
* Collaborating with functional and technical team members (e.g. SMEs in HR, Finance, Enterprise Services and IT) to prioritize and pursue the business and technical initiatives in the roadmap to achieve a global data strategy
* Enabling BCG leaders to make relevant decisions (e.g. trade-offs and prioritization) to implement the global strategy defined for Consulting Team Talent data
* Developing analytics, frameworks and KPIs to drive a step-change in Data Quality Issue management, Data Security, Data Profiling and Data Governance maturity
* Adopting new technologies like GenAI to maximize data value potential
* Ensuring adherence to relevant data policies, standards, and guidelines, and maintaining relevant Data Governance artefacts across the data domain (for example, the Data Catalog, classification, and data quality standards of data elements)
* Communicating with senior executive teams the importance of the data strategy for the success of BCG
What You'll Bring
* 10-12+ years of experience working in data-related or project roles (e.g. Data Management, Data Governance, CDO Office or BI & Analytics team). Prior experience working with Consulting data like benchmarks or 3rd party sources and at a global level
* Passion and interest in solving business-oriented data challenges end-to-end, with demonstrated precision and attention-to-detail
* An understanding of Data Governance industry best practice is useful (such as DAMA’s DMBoK & CDMP, EDM Council’s DCAM)
* Understanding of data strategy and management concepts and associated business processes and tools, including Data Modelling, Data Warehousing, and Data Quality
* Strong customer and business focus with demonstrated ability to form effective working relationships and resolve conflicts
* Hands-on experience using Data Governance tools such as Data Catalogs and Data Quality Tools, preferably in the context of GenAI readiness
* Solid understanding of Consulting data constructs and domains (e.g. structured and unstructured data), data technologies (e.g., Snowflake) and core transactional systems (e.g., SharePoint) will be beneficial
* The ideal candidate will have a goal-oriented mindset and enjoy working with cross-functional teams to deliver Data Governance capabilities and support exceptional Data Products
* Strong communication skills with proven experience in stakeholder engagement (including senior business and technical teams) and the ability to showcase the business benefits of Data Governance.
* Bachelor’s or higher degree, preferably in computer science, mathematics, statistics, or related fields.
Who You'll Work With
* BCG Global Consulting Practice Areas (Functional & Industry) and Data teams: the Data Product Portfolio, Data Governance CoE, Master Data Mgmt., Enterprise Data Modelling, and Data Product development teams
* BCG IT, Knowledge Team and PA Specific data teams: business intelligence and analytics, operations, and technical teams, among other business functions
* BCG Leadership: Heads of IT, Consulting / Practice Areas, Knowledge Function, and Enterprise Services among other business functions.
* The Data Governance network: Data Owners, Stewards, and Data Governance Directors
* Data Layer Team – Collaborating closely with data engineers, lead enterprise architects, data stewards, data product analysts, and QA engineers to develop, maintain, and enhance BCG’s data products and infrastructure.
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
BCG is an E - Verify Employer. (Click here )( for more information on E-Verify.
This advertiser has chosen not to accept applicants from your region.
0
HR Data Governance - Senior Consultant - London
London, London
Capgemini
Posted 1 day ago
Job Viewed
Job Description
HR Data Governance - Senior Consultant - London Reference Code: -en_GBContract Type: PermanentProfessional Communities: Strategy & Transformation
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
YOUR ROLE
In this role you will play a key role in:
Lead the development and execution of HR data governance strategies for clients , ensuring alignment with enterprise objectives, regulatory requirements, and transformation goals.
Define and implementing knowledge management frameworks to help clients capture, structure, and consider HR data flows across the organization.
Contribute to HR data migration planning and readiness during system transitions, ensuring data integrity, business continuity, and stakeholder alignment.
Provide strategic advisory to HR and business leaders on data lifecycle management, including archiving, retention, and compliance.
Act as a trusted advisor, guiding clients through the organizational and strategic challenges of data governance, knowledge management, and HR transformation.
As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:
- Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.
Learning & development – Training to support your career development and the skills demand within the company, certifications etc.
YOUR PROFILE
Familiarity with HR systems and platforms such as Workday, SAP SuccessFactors, Oracle, or ServiceNow
Experience in HR data governance, knowledge management, data cleanse, and data migration within large-scale transformation programs.
Strong understanding of the HR data lifecycle, including data quality, ownership, retention, and compliance (e.g., GDPR)
Excellent communication, facilitation, and stakeholder management skills across business and technical teams
Experience supporting HR operating model design and embedding data governance into service delivery structures.
Optional:
Currently working in a major Consulting firm, and/or in industry but having a Consulting background Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions.
Experience of proposition building and delivery.
NEED TO KNOW
At Capgemini we don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.
We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.
CSR
We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing.
Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.
We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.
ABOUT CAPGEMINI
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
This advertiser has chosen not to accept applicants from your region.
1
Consultant/Senior Consultant - Data Governance - London
London, London
Capgemini
Posted 1 day ago
Job Viewed
Job Description
Consultant/Senior Consultant - Data Governance - London Reference Code: -en_GBContract Type: PermanentProfessional Communities: Strategy & Transformation
Capgemini Invent
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
Your Role
Join our fast-growing & collaborative Data-Driven Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud-first data platforms to transform risk management from a reactive function into a strategic powerhouse—driving growth, resilience, and competitive edge. Be part of a dynamic and inclusive team that’s redefining how businesses anticipate, manage, and capitalize on risk.
In this role you will have the opportunity to demonstrate the following:
- Stakeholder Collaboration: Partner with business and data teams to understand data requirements, define data ownership, and ensure governance policies are effectively applied.
- Data Governance: Implement and support data governance and data quality initiatives, ensuring compliance with organizational policies and regulatory standards.
- Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards.
- Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy
- Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy, completeness, and adherence to governance standards.
- While this role requires experience in data governance, we are looking for versatile team members, capable of successfully executing a diverse array of data-driven projects. This includes expertise in agile delivery, requirements gathering, data analysis, stakeholder management, governance, and compliance.
Your Profile
We are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal candidate will demonstrate most or all of the following:
Professional Experience:
- Current experience in a consulting firm and/or preferably Financial Services background (minimum 2 years of experience, dependent on grade) with evidence of effective stakeholder management to address business challenges.
- Experience working across various stages of End-to-End Analytics /AI Transformation or Large-scale Deployments / Technology Implementation Programmes.
- Passionate about data with demonstrated ability in solving complex problems and leveraging the latest tools & technologies to create innovative data-focused solutions.
- The ability to simplify the complex, storytelling and bring to life the outcomes rather than just the steps to achieve them.
Technical and Analytical Skills:
- Knowledge of data governance frameworks and best practices, including data stewardship, data lineage, metadata management, and compliance with regulatory requirements. Experience in implementing and maintaining data governance policies and procedures.
- Proficiency in using data management and governance tools such as Informatica, Collibra, or Talend. Understanding of SQL to analyze data structures and ensure compliance with governance standards.
- Familiarity with project governance tools and artifacts for product delivery (e.g. JIRA, Epic and User Story, Backlog).
- Practical experience with agile methodologies such as Scrum, Kanban, or SAFe frameworks.
- Storytelling/presentation skills with the ability to present technical and non-technical concepts to a wide variety of audiences.
For candidates applying for the Senior Consultant role, we additionally require:
- Exposure to some regulatory requirements (e.g., GDPR, CCPA, BCBS 239, Solvency II) and their impact on data governance strategies.
- Records Management (data privacy framework).
- Demonstrated experience in people management, product owner or workstream management.
- Experience supporting and participating in the commercial cycle, including defining project scope and agreeing on budgets
WHAT YOU’LL LOVE ABOUT WORKING HERE?
Our DFRC team is part of the wider Data & AI Factory team within our Enterprise Data Analytics (EDA) team which takes pride in transforming clients’ businesses with Data & AI making a tangible difference for our clients, setting industry standards and unlocking business value.
By being part of the EDA team, you can grow your expertise, contribute to meaningful work, and celebrate successes as part of a dynamic team.
DFRC consultants will engage in projects designed to transform financial operations for our clients.
Our team’s expertise spans across several focus areas from risk based decisioning & analytics, credit risk, financial crime and KYC/AML to data privacy, governance and the many applications of GenAI within financial services.
At Capgemini Invent, our strong partnerships with our clients and partners allows us to harness the power of data and AI to address complex business challenges. We’re building a successful team of experts across risk and finance; leveraging these capabilities to solve intricate problems and unlock new opportunities in diverse sectors.
As a team:
- We value diversity: we embrace the value that diverse teams bring to our EDA practice and our clients.
- We focus on clients: positively impacting our clients data culture and operations.
- We are committed to learning and development: obsessed with advancing our data, insights and analytics skills.
- We're stronger when we collaborate: active collaboration and other Invent capabilities and with wider Capgemini, most notably I&D, Cambridge Consultants and with select third party alliances.
- We foster community: building new analytics and AI products and services through our functional and industry communities of interest.
- We believe data can be a driver for a better world: we will use our AI & analytics skills to improve sustainability, address climate change and champion active inclusion.
We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for 4 consecutive years, to see what it’s like to work at Capgemini Invent, visit our Glassdoor page.
NEED TO KNOW
At Capgemini we don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.
We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.
CSR:
We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing.
Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.
We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.
About Capgemini Invent
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
This advertiser has chosen not to accept applicants from your region.
2
Vice President, Compliance Data Governance - BAU Lead
London, London
MUFG
Posted 3 days ago
Job Viewed
Job Description
**Do you want your voice heard and your actions to count?**
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**OVERVIEW OF THE DEPARTMENT/SECTION**
The Core Compliance department at MUFG plays a critical role in safeguarding the integrity and reputation of the investment bank. It is responsible for ensuring that the firm operates within the framework of applicable laws, regulations, and internal policies.
MUFG is currently in search of a seasoned Data Governance expert to manage daily operations of the Data Governance framework within Core Compliance. This pivotal role is essential in ensuring the department upholds effective controls and maintains a high standards of data quality.
**NUMBER OF DIRECT REPORTS**
To be determined
**MAIN PURPOSE OF THE ROLE**
In this role you will:
+ Manage the Data Governance BAU
**Key activities will include**
+ Ensuring the Data Governance framework is in line with policies and procedures
+ KDE and Dataflow management
+ Data Quality monitoring and MI
+ Data Change Management
+ Implementation and maintenance of manual controls
+ Support the project team to mature the Data Governance framework
**KEY RESPONSIBILITIES**
Specifically, you will be accountable and responsible for taking appropriate action relating to Data Governance with respect to the Company's and Core Compliance, including:
**BAU**
+ Accountable for acting as a centralised point of contact for Core Compliance for any questions relating to Data. Supporting the Core Compliance Data Steward.
+ Responsible for maintaining the departments data policies, standards, and procedures. Understand the data flows into Core Compliance systems from source including the controls in place. Documents and escalate gaps. Collaborating with other data governance teams locally and other regions to ensure the department is following best practices.
+ Responsible for the Core Compliance Data Issue management process. Co-ordinate and create material for regular meeting and seek solutions for open issues. Escalate to management where required
+ Contribute and leading coordinating and facilitating data governance activities and forums. Create data quality metrics, dashboards, and reports where required.
+ Overseeing the department's EUCs ensuring that they adhere to the regional policy. Support the attestation process
+ Accountable or supporting the data in key Core Compliance systems including surveillance platforms. Ensure daily checks are in place; trouble shoot issues, and introduce tools to track performance. Liaise and partner with technology on seek robust solutions.
+ Proactively identify gaps in current BAU activities and implement controls and improvements.
**Change**
+ Accountable for supporting incorporating any policies into productions, completing documentation and supporting testing.
+ Responsible for contributing to maturing the framework .
**Relationship with other functions and stakeholders**
+ Maintain and enhance good working relationships with stakeholders, across the region and globally to share best practices, provide support and seek opportunities for collaboration.
**SKILLS AND EXPERIENCE**
+ Postgraduate degree with further professional qualification an advantage.
+ 7+ years' experience in Data Governance leading international financial services institution(s).
+ Experience driving change and improvements to Data Governance frameworks
+ Full understand of the front to back Data Governance framework
+ Experience of Compliance surveillance platforms advantageous but not a requirement
+ Strong people management experience.
+ Extensive experience executing and managing Data Governance frameworks including Issue investigation and management, Change management and MI creation
+ Full understanding of the Data Governance framework
+ Understanding and experience of using Data Governance tools including automation tools and Business analytic tools
+ Deep understanding of ever-evolving governance and regulatory environments as well as industry and compliance risk-related best practices.
+ Proven ability to identify inefficiencies and improve processes and controls.
+ Prior experience in a task oriented team working to multiple deadlines.
+ Proficient in Excel, Word and PowerPoint,
**PERSONAL REQUIREMENTS**
+ Excellent communication and interpersonal skills
+ Results driven, with a strong sense of accountability
+ Strong attention to detail.
+ A proactive, motivated approach
+ The ability to operate with urgency and prioritise work accordingly
+ Strong decision making skills, the ability to demonstrate sound judgement
+ A structured and logical approach to work
+ Strong problem solving skills
+ A calm approach, with the ability to perform well in a pressurised environment
+ Strong team player, willing to work in a collaborative, constructive and proactive manner with colleagues.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
+ Client Centric
+ People Focused
+ Listen Up. Speak Up.
+ Innovate & Simplify
+ Own & Execute
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**OVERVIEW OF THE DEPARTMENT/SECTION**
The Core Compliance department at MUFG plays a critical role in safeguarding the integrity and reputation of the investment bank. It is responsible for ensuring that the firm operates within the framework of applicable laws, regulations, and internal policies.
MUFG is currently in search of a seasoned Data Governance expert to manage daily operations of the Data Governance framework within Core Compliance. This pivotal role is essential in ensuring the department upholds effective controls and maintains a high standards of data quality.
**NUMBER OF DIRECT REPORTS**
To be determined
**MAIN PURPOSE OF THE ROLE**
In this role you will:
+ Manage the Data Governance BAU
**Key activities will include**
+ Ensuring the Data Governance framework is in line with policies and procedures
+ KDE and Dataflow management
+ Data Quality monitoring and MI
+ Data Change Management
+ Implementation and maintenance of manual controls
+ Support the project team to mature the Data Governance framework
**KEY RESPONSIBILITIES**
Specifically, you will be accountable and responsible for taking appropriate action relating to Data Governance with respect to the Company's and Core Compliance, including:
**BAU**
+ Accountable for acting as a centralised point of contact for Core Compliance for any questions relating to Data. Supporting the Core Compliance Data Steward.
+ Responsible for maintaining the departments data policies, standards, and procedures. Understand the data flows into Core Compliance systems from source including the controls in place. Documents and escalate gaps. Collaborating with other data governance teams locally and other regions to ensure the department is following best practices.
+ Responsible for the Core Compliance Data Issue management process. Co-ordinate and create material for regular meeting and seek solutions for open issues. Escalate to management where required
+ Contribute and leading coordinating and facilitating data governance activities and forums. Create data quality metrics, dashboards, and reports where required.
+ Overseeing the department's EUCs ensuring that they adhere to the regional policy. Support the attestation process
+ Accountable or supporting the data in key Core Compliance systems including surveillance platforms. Ensure daily checks are in place; trouble shoot issues, and introduce tools to track performance. Liaise and partner with technology on seek robust solutions.
+ Proactively identify gaps in current BAU activities and implement controls and improvements.
**Change**
+ Accountable for supporting incorporating any policies into productions, completing documentation and supporting testing.
+ Responsible for contributing to maturing the framework .
**Relationship with other functions and stakeholders**
+ Maintain and enhance good working relationships with stakeholders, across the region and globally to share best practices, provide support and seek opportunities for collaboration.
**SKILLS AND EXPERIENCE**
+ Postgraduate degree with further professional qualification an advantage.
+ 7+ years' experience in Data Governance leading international financial services institution(s).
+ Experience driving change and improvements to Data Governance frameworks
+ Full understand of the front to back Data Governance framework
+ Experience of Compliance surveillance platforms advantageous but not a requirement
+ Strong people management experience.
+ Extensive experience executing and managing Data Governance frameworks including Issue investigation and management, Change management and MI creation
+ Full understanding of the Data Governance framework
+ Understanding and experience of using Data Governance tools including automation tools and Business analytic tools
+ Deep understanding of ever-evolving governance and regulatory environments as well as industry and compliance risk-related best practices.
+ Proven ability to identify inefficiencies and improve processes and controls.
+ Prior experience in a task oriented team working to multiple deadlines.
+ Proficient in Excel, Word and PowerPoint,
**PERSONAL REQUIREMENTS**
+ Excellent communication and interpersonal skills
+ Results driven, with a strong sense of accountability
+ Strong attention to detail.
+ A proactive, motivated approach
+ The ability to operate with urgency and prioritise work accordingly
+ Strong decision making skills, the ability to demonstrate sound judgement
+ A structured and logical approach to work
+ Strong problem solving skills
+ A calm approach, with the ability to perform well in a pressurised environment
+ Strong team player, willing to work in a collaborative, constructive and proactive manner with colleagues.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
+ Client Centric
+ People Focused
+ Listen Up. Speak Up.
+ Innovate & Simplify
+ Own & Execute
This advertiser has chosen not to accept applicants from your region.
3
Senior Data Management Professional - Data Quality - Loans
London, London
Bloomberg
Posted 8 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Loans
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
**The Team:**
Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.
**What's the role?**
We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.
**That means:**
Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clients' needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group
**We'll trust you to:**
+ Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
+ Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
+ Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
+ Perform data profiling and apply statistical methods to support data quality measurements
+ Optimally and proactively connect with partners and senior management
+ Keep up with the industry trends, standards, and innovation in the Data Quality domain
**You'll need to have:**
+ 4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
+ Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
+ Understanding of ETL processes and broader data workflow engineering concepts
+ Up-to-date knowledge of events taking place in the financial markets
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
+ Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
**We'd love to see:**
+ DAMA CDMP or DCAM certifications
+ Familiarity with Corporate Actions, Loans, Corporate Bonds
+ Project Management experience developed in a matrixed partner environment and cross-regional business
Does this sound like you? Apply if you think we're a good match! We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
**The Team:**
Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.
**What's the role?**
We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.
**That means:**
Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clients' needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group
**We'll trust you to:**
+ Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
+ Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
+ Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
+ Perform data profiling and apply statistical methods to support data quality measurements
+ Optimally and proactively connect with partners and senior management
+ Keep up with the industry trends, standards, and innovation in the Data Quality domain
**You'll need to have:**
+ 4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
+ Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
+ Understanding of ETL processes and broader data workflow engineering concepts
+ Up-to-date knowledge of events taking place in the financial markets
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
+ Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
**We'd love to see:**
+ DAMA CDMP or DCAM certifications
+ Familiarity with Corporate Actions, Loans, Corporate Bonds
+ Project Management experience developed in a matrixed partner environment and cross-regional business
Does this sound like you? Apply if you think we're a good match! We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
4
Senior Data Management Professional - Data Quality - Data AI
London, London
Bloomberg
Posted 23 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Data AI
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **'ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
+ Experience using data visualization tools such as Tableau or Qlik Sense.
+ Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**We'd Love to See:**
+ Keen interest and familiarity with generative AI frameworks.
+ Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
+ Keen interest and familiarity with generative AI frameworks.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **'ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
+ Experience using data visualization tools such as Tableau or Qlik Sense.
+ Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**We'd Love to See:**
+ Keen interest and familiarity with generative AI frameworks.
+ Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
+ Keen interest and familiarity with generative AI frameworks.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
5
Senior Data Management Professional - Data Quality - Entities Data (Private Markets)
London, London
Bloomberg
Posted 5 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Entities Data (Private Markets)
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
**Our Team**
The Entity Data team is responsible for the creation, enrichment, and support of core entity data, including legal entities, issuers, and corporate hierarchies, for over 7 million public and private companies. This data underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.
**What's the Role?**
As a Data Quality Manager, you will define and execute the quality strategy that ensures our datasets are reliable, consistent, and ready for critical client use cases. You will lead efforts to design and implement effective data management practices, establish quality metrics, and deliver transparent reporting. Your work will directly support the transformation of our data workflows, enabling scalability for private markets and beyond.
This role requires a mix of technical expertise, governance mindset, and stakeholder engagement skills. You'll collaborate closely with Engineering, Product, and internal Centers of Excellence to ensure our datasets evolve in line with industry standards while also meeting client expectations for accuracy, coverage, and usability.
**We'll Trust You To:**
+ Develop and deliver the data quality strategy for the Entities product, aligning it with client use cases and industry best practices.
+ Define, measure, and monitor data quality metrics that ensure transparency and accountability across workflows.
+ Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines.
+ Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements.
+ Lead initiatives to modernize workflows-advocating for automation, AI/ML-enabled quality checks, and scalable infrastructure enhancements.
+ Promote data quality awareness and education across the organization, empowering colleagues to embed quality into their work.
+ Stay ahead of industry developments in reference data and private markets to shape our data strategy.
**You'll Need to Have:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ 4+ years of professional experience in data quality management, reference data, or data governance.
+ Hands-on experience with data profiling/analysis tools such as Python, R, or SQL.
+ Familiarity with ETL processes, data pipelines, and workflow design.
+ Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights.
+ Proven ability to collaborate across teams and geographies, influencing both technical and business partners.
+ Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs.
+ Strong analytical skills, attention to detail, and a solutions-oriented mindset.
**We'd love to see:**
+ Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM).
+ Experience with reference data, entity/issuer data, or private markets datasets, including integration of third-party providers.
+ Exposure to Agile methodologies such as Scrum or Kanban.
+ Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations.
+ Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.
+ Exposure to Agile methodologies such as Scrum or Kanban.
+ Awareness of emerging trends in Private Markets data, including the complexities of non-public entities and their role in financial workflows.
+ Understanding of financial use cases that depend on accurate entity data, such as client onboarding, compliance/KYC, counterparty risk, and issuer classification.
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
**Our Team**
The Entity Data team is responsible for the creation, enrichment, and support of core entity data, including legal entities, issuers, and corporate hierarchies, for over 7 million public and private companies. This data underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.
**What's the Role?**
As a Data Quality Manager, you will define and execute the quality strategy that ensures our datasets are reliable, consistent, and ready for critical client use cases. You will lead efforts to design and implement effective data management practices, establish quality metrics, and deliver transparent reporting. Your work will directly support the transformation of our data workflows, enabling scalability for private markets and beyond.
This role requires a mix of technical expertise, governance mindset, and stakeholder engagement skills. You'll collaborate closely with Engineering, Product, and internal Centers of Excellence to ensure our datasets evolve in line with industry standards while also meeting client expectations for accuracy, coverage, and usability.
**We'll Trust You To:**
+ Develop and deliver the data quality strategy for the Entities product, aligning it with client use cases and industry best practices.
+ Define, measure, and monitor data quality metrics that ensure transparency and accountability across workflows.
+ Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines.
+ Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements.
+ Lead initiatives to modernize workflows-advocating for automation, AI/ML-enabled quality checks, and scalable infrastructure enhancements.
+ Promote data quality awareness and education across the organization, empowering colleagues to embed quality into their work.
+ Stay ahead of industry developments in reference data and private markets to shape our data strategy.
**You'll Need to Have:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ 4+ years of professional experience in data quality management, reference data, or data governance.
+ Hands-on experience with data profiling/analysis tools such as Python, R, or SQL.
+ Familiarity with ETL processes, data pipelines, and workflow design.
+ Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights.
+ Proven ability to collaborate across teams and geographies, influencing both technical and business partners.
+ Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs.
+ Strong analytical skills, attention to detail, and a solutions-oriented mindset.
**We'd love to see:**
+ Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM).
+ Experience with reference data, entity/issuer data, or private markets datasets, including integration of third-party providers.
+ Exposure to Agile methodologies such as Scrum or Kanban.
+ Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations.
+ Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.
+ Exposure to Agile methodologies such as Scrum or Kanban.
+ Awareness of emerging trends in Private Markets data, including the complexities of non-public entities and their role in financial workflows.
+ Understanding of financial use cases that depend on accurate entity data, such as client onboarding, compliance/KYC, counterparty risk, and issuer classification.
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
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6
Data Management Intern
Westerham, South East
Bombardier
Posted 23 days ago
Job Viewed
Job Description
Bombardier's Business Aircraft London Service Centre in Biggin Hill is part of an award-winning network and is the flagship of Bombardier's European operation. This Base and Line Maintenance Centre is the fastest-growing Service Centre in Europe and the largest Business Aircraft OEM in the UK. The facility has the capabilities to perform an array of maintenance checks, modifications and upgrades all from this site. Only 14 miles from London, Bombardier's Biggin Hill Service Centre is ideally located to support operators in the UK region and beyond.
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
This advertiser has chosen not to accept applicants from your region.
7
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 23 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
8
Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds
London, London
Bloomberg
Posted 5 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and the Bloomberg Data team is responsible for supplying it. The Bloomberg Data department is responsible for sourcing, processing, and analyzing the data that is the backbone of our iconic Bloomberg Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our data, systems, products and processes while providing platinum customer support to our clients.
Our Team
Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments data team is made up of market specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.
What's the role?
The Alternative Investment Funds Automation team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We'll trust you to:
+ Develop systematic strategies to analyse current processes, identify data quality gaps, and scale best practices
+ Lead the execution of data quality initiatives, best practices, and projects across global teams
+ Partner with Engineering and Product teams to embed data quality strategies into product and engineering roadmaps
+ Foster a product culture where data quality insights are discoverable, actionable, and transparent
+ Apply domain expertise to guide product and engineering decisions, ensuring high-quality outputs
+ Use technology and technical skills to drive systematic data quality assurance
+ Apply advanced data analysis skills to identify trends, patterns, and anomalies, informing data quality approaches
+ Stay current with internal best practices, industry standards, and innovations in data quality
+ Act as a hands-on owner in quality projects and product coordination, collaborating with Technical Specialists, Engineers, and Product Managers as needed
You'll need to have:
+ Bachelor's degree in Statistics, Data Analytics, Data Science, or another STEM-related field
+ Minimum of 4 years of experience* in data management concepts such as data quality, random sampling, and data modeling
+ Proven experience analyzing financial datasets or applying financial market concepts
+ Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL
+ Strong ability to communicate results clearly and concisely through data visualization tools
+ Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems
_*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role*_
We'd love to see:
+ Experience in data science, technical consulting or the financial industry
+ Master's or PhD in a relevant field
+ Certification such as a CFA charter holder or CAIA
+ Familiarity with Agile or Scrum project management methodologies
+ Experience using data analysis and visualization tools such as Tableau or QlikSense
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and the Bloomberg Data team is responsible for supplying it. The Bloomberg Data department is responsible for sourcing, processing, and analyzing the data that is the backbone of our iconic Bloomberg Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our data, systems, products and processes while providing platinum customer support to our clients.
Our Team
Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments data team is made up of market specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.
What's the role?
The Alternative Investment Funds Automation team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We'll trust you to:
+ Develop systematic strategies to analyse current processes, identify data quality gaps, and scale best practices
+ Lead the execution of data quality initiatives, best practices, and projects across global teams
+ Partner with Engineering and Product teams to embed data quality strategies into product and engineering roadmaps
+ Foster a product culture where data quality insights are discoverable, actionable, and transparent
+ Apply domain expertise to guide product and engineering decisions, ensuring high-quality outputs
+ Use technology and technical skills to drive systematic data quality assurance
+ Apply advanced data analysis skills to identify trends, patterns, and anomalies, informing data quality approaches
+ Stay current with internal best practices, industry standards, and innovations in data quality
+ Act as a hands-on owner in quality projects and product coordination, collaborating with Technical Specialists, Engineers, and Product Managers as needed
You'll need to have:
+ Bachelor's degree in Statistics, Data Analytics, Data Science, or another STEM-related field
+ Minimum of 4 years of experience* in data management concepts such as data quality, random sampling, and data modeling
+ Proven experience analyzing financial datasets or applying financial market concepts
+ Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL
+ Strong ability to communicate results clearly and concisely through data visualization tools
+ Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems
_*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role*_
We'd love to see:
+ Experience in data science, technical consulting or the financial industry
+ Master's or PhD in a relevant field
+ Certification such as a CFA charter holder or CAIA
+ Familiarity with Agile or Scrum project management methodologies
+ Experience using data analysis and visualization tools such as Tableau or QlikSense
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
9