27 Oracle Database Administration jobs in London

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

**HOW MIGHT YOU DEFY IMAGINATION?**
At Amgen, every challenge is an opportunity. And every opportunity brings the potential to change lives. Our shared mission-to serve patients-has driven our status as one of the world's preeminent biotechnology companies, reaching over 10 million patients worldwide. Leverage your high-level expertise to lead and forge partnerships that advance the biotechnical and biopharmaceutical science that can turn the tide of serious, life-interrupting illnesses.
**DIRECTOR CLINICAL DATA MANAGEMENT**
**Live**
**What You Will Do**
The Amgen Global Clinical Data Management team is looking for an experienced Director to lead our data management team on the aspiration of optimizing and delivering an industry admired clinical evidence platform to deliver innovative medicines to patients with unmet medical needs.
You will lead and manage Data Management (DM) teams within a specific DM operational business unit. The Director will set and drive forward the vision and strategy for DM as a member of the DM and GSO Leadership Team.
You will be accountable for leadership and oversight of the data management organization; ensuring operational excellence and consistency in clinical trial execution. In this role you will be accountable for building and developing a high performing internal data management team, as well as ensuring engagement and alignment of Amgen's strategy and priorities with the Functional Service Provider (FSP).
In this role you will be part of the Global Study Operations (GSO) leadership team, accountable for the delivery of quality clinical trials through industry-leading execution of innovative processes, strong cross-functional partnerships, and best-use of clinical systems and analytics to guide site and study operations. The role will support acceleration of clinical programs and other continuous improvement efforts, applying innovative thinking in shaping future strategy.
Our Global Clinical Data Management Team:
The Global Clinical Data Management Team comprises approximately 50 people. The three Directors, as part of the wider GSO organization and reporting into the Executive Director, Global Study Operations, work together to meet the demands of an industry leading, fast paced, high throughput organization with a commitment to compliance, quality and standards.
**Responsibilities:**
+ Oversight of a distinct DM operational unit (e.g. therapy area, cross-product area)
+ Recruiting, managing and developing staff
+ Global resource planning and assignments
+ Setting of functional goals and objectives
+ Creating and implementing GSO & DM strategies developing, reviewing, implementing and enforcing data standards
+ Ensuring DM processes/systems meet regulatory and business requirements
+ Be an active member of the Leadership Team to provide a foundation for GSO success
**Key activities will include:**
+ Team management including performance, coaching and development
+ Develop, review and implement policies, SOPs and associated documents affecting DM globally
+ Set vision, strategy and direction for DM group; develop annual goals and objectives
+ Accountable for and oversee DM FSP relationships; ensuring goals of product areas and systems groups can be met via the FSP
+ Define and maintain Service Level Agreements and Key Performance Indicators; including oversight of quality and CAPA management
+ Governance oversight -ensure visibility into performance of FSPs to the department
+ Sponsor, Lead and participate in cross functional working groups
+ Resource and budget management for global function Ensure adequate training and capability within area and be accountable for staff compliance with all DM processes
+ Vendor management (development of strategies, contract management, relationship management, etc)
+ Respond to audit/inspection findings
+ Be accountable for and oversee all study deliverables and submission activities for products within group
+ Ensure that status information on DM activities is available and is acted on as needed
**Win**
**What We Expect Of You**
We are all different, yet we all use our unique contributions to serve patients. The data management professional we seek is a collaborator with these qualifications.
+ Degree educated in relevant field or in life science, computer science, business administration or related discipline
+ Extensive experience in data management in the Pharmaceutical or Biotech arena
+ Experience in rare disease therapeutic area in a leadership role
+ Broad experience of working in a global organization
+ Experience at or oversight of outside vendors (CRO's, central labs, imaging vendors, etc)
+ Extensive managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources
+ Strategic and innovative thinker with experience of driving operational excellence
+ Excellent relationship building skills with the ability to influence and make business impact
+ Ability to work collaboratively cross functionally with ability to influence and drive decisions
+ Proven experience within oversight of clinical research suppliers
+ Project management
+ Previous experience in a global, matrix organization
+ Excellent organizational and interpersonal skills
+ Ability to anticipate and problem solve challenging issues
**THRIVE**
**What you can expect of us**
As we work to develop treatments that take care of others, so we work to care for our teammates' professional and personal growth and well-being.
+ Vast opportunities to learn and move up and across our global organization
+ Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
+ Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits
**LOCATION:** Ability to work flexibly from home with regular office work either from our Cambridge or Uxbridge next generation workspace.
**APPLY NOW**
**for a career that defies imagination**
In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.
**careers.amgen.com**
**Equal Opportunity Statement**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

**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 120,000 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 Resource Management Team:**
The goal of the team is to provide a "one stop solution" for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.
**Resource Data Management**
+ Manage cleaning resource data in workday.
+ Run training via the new starter induction and creation of org charts on Kizuna.
+ Creation of headcount reporting data monthly / quarterly / annually.
**Technology Recruitment**
+ Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff.
+ Creation of recruitment and rate reporting.

**The primary purpose of the Resource Data Management Analyst is to:**
+ Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
+ Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.
**Key Responsibilities:**
+ Lead daily team stand up via teams.
+ Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
+ Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
+ Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
+ Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
+ Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
+ Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
+ Creation of office attendance for contingent workers. Method for this is excel macros.
+ Run the Technology new starter induction, which occurs twice a month.
+ Creation of the Technology organisation chart. Method for this is via Visio.
+ Maintain and enhance good working relationships with the teams stakeholders.
**Skills and Experience:**
Technical Capability
+ Strong excel skills. Be able to build and run macros and power queries.
+ Strong power BI skills. Be able to build and update reporting in power BI.
+ Strong visio skills. Be able to create workflows and org charts.
+ Strong numerical skills. To aid day-to-day activities.
+ Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.
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

Senior Data Management Professional - Data Engineering
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:**
The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg's offerings.
**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:**
+ Build strategies to analyze processes and data engineering 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 coordinator.
+ Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
+ 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 improve 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 sophisticated 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 demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
+ Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
+ Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
+ Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
+ Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.
**We'd Love to See:**
+ DAMA CDMP or DCAM certifications.
+ Keen interest and familiarity with generative AI frameworks.
+ Understanding of the importance of high quality annotations.
+ Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
+ 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

ARTO is partnered with a global biopharmaceutical company focused on developing innovative therapies for rare diseases. They’re now looking to appoint an Associate Director, Data Management Science to take ownership of study-related data management activities and drive operational excellence across clinical development programs. This role offers the opportunity to lead on data strategy, process improvement, and ensure high-quality, regulatory-compliant data delivery across global studies. Key reasonability's Lead all study-related data management activities, including protocol review, eCRF design, and development of Data Management and Validation Plans. Collaborate with cross-functional teams to ensure complete, correct, and fit-for-purpose study datasets for statistical analysis. Oversee medical coding, SAE reconciliation, and database lock activities. Manage and guide team members or consultants as needed to achieve departmental goals. Support process improvement and innovation initiatives within data management science. Represent the function in cross-functional study meetings, ensuring alignment and communication between stakeholders. Qualifications Advanced degree in Data Science, Life Sciences, Statistics, or a related field (PhD/MSc preferred). 5 years’ experience in data management or clinical development within pharma, biotech, or CRO settings. Strong understanding of data standards (CDISC, CDASH) and regulatory compliance (FDA, ICH, GCP). Hands-on experience with data validation, database builds, and clinical programming collaboration. Excellent leadership, communication, and cross-functional coordination skills.

ARTO is partnered with a global biopharmaceutical company focused on developing innovative therapies for rare diseases.

They’re now looking to appoint an Associate Director, Data Management Science to take ownership of study-related data management activities and drive operational excellence across clinical development programs. This role offers the opportunity to lead on data strategy, process improvement, and ensure high-quality, regulatory-compliant data delivery across global studies.

Key reasonability's

• Lead all study-related data management activities, including protocol review, eCRF design, and development of Data Management and Validation Plans.
• Collaborate with cross-functional teams to ensure complete, correct, and fit-for-purpose study datasets for statistical analysis.
• Oversee medical coding, SAE reconciliation, and database lock activities.
• Manage and guide team members or consultants as needed to achieve departmental goals.
• Support process improvement and innovation initiatives within data management science.
• Represent the function in cross-functional study meetings, ensuring alignment and communication between stakeholders.

Qualifications

• Advanced degree in Data Science, Life Sciences, Statistics, or a related field (PhD/MSc preferred).
• 5+ years’ experience in data management or clinical development within pharma, biotech, or CRO settings.
• Strong understanding of data standards (CDISC, CDASH) and regulatory compliance (FDA, ICH, GCP).
• Hands-on experience with data validation, database builds, and clinical programming collaboration.
• Excellent leadership, communication, and cross-functional coordination skills.

**Who Are We?**
Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
**Job Category**
Data Analytics
**Target Openings**
1
**What Is the Opportunity?**
At Travelers, we create trusted strategic products and services to unlock the power of our data. We enhance and measure our ability to access, govern, manage, connect and integrate internal and external data assets and ensure our employees understand the value of data and the impacts to our business.
As a Senior Manager of External Data Management for Travelers Europe, you will be the primary leader responsible for all third-party data (3PD) governance, strategy, and operations across the European business. You will define and execute the vision for how Travelers Europe sources, evaluates, onboards, manages, and optimizes external data products from vendors and data providers. Working at the intersection of business strategy, vendor management, data governance, and technology implementation, you will ensure that third-party data investments deliver measurable business value while maintaining the highest standards of data quality, compliance, and security.
You will provide leadership by setting priorities, assigning work and influencing team members while building strong partnerships across business units, IT, legal, procurement, and vendor organizations. Your deep understanding of the external data ecosystem, vendor landscape, and data product lifecycle will enable you to drive strategic decisions about which external data sources best support business objectives.
Travelers Europe currently offers flexibility to employees who wish to work on a hybrid basis in accordance with our Hybrid Work Arrangements Policy. This entails full time employees working three days a week in the office and two days at home (or pro rata for part-time employees). This policy may be changed at the Company's discretion.
**What Will You Do?**
External Data Strategy & Governance
+ Own and maintain the comprehensive third-party data inventory across all European markets, ensuring accurate cataloguing of all external data sources, vendors, costs, usage, and business value
+ Lead the development and socialisation of the Europe external data operating model, establishing clear processes for evaluation, procurement, onboarding, and lifecycle management of third-party data products
+ Define and enforce 3PD governance policies, standards, and best practices across all countries, ensuring compliance with regulatory requirements and corporate policies
+ Conduct regular portfolio reviews with business stakeholders to assess the value, utilization, and ROI of external data investments
+ Develop business cases and cost/benefit analyses for new external data products, including evaluation of vendor alternatives and negotiation support
External Data Product Lifecycle Management
+ Manage the end-to-end lifecycle of external data products from initial business need identification through evaluation, vendor selection, contracting, onboarding, integration, optimisation, and renewal or decommissioning decisions
+ Lead cross-functional evaluation teams to assess potential third-party data sources, including data quality assessments, technical feasibility studies, legal and compliance reviews, and proof-of-concept coordination
+ Orchestrate the onboarding process for approved external data products, coordinating across business sponsors, IT development teams, legal, procurement, and vendor account teams
+ Manage stakeholder requests for new external data attributes or sources (e.g., Carfax vehicle data, credit bureau enhancements, geospatial data), providing expert guidance on feasibility, alternatives, and implementation approach
+ Monitor external data product performance against business objectives and SLAs, driving continuous improvement initiatives
Vendor & Stakeholder Management
+ Serve as the primary point of contact for external data vendors operating in Europe, managing relationships and ensuring contractual obligations are met
+ Partner with procurement and legal teams on contract negotiations, renewals, and dispute resolution for third-party data agreements
+ Work with country business leads to understand market-specific external data needs and ensure governance guidelines are followed at the local level
+ Facilitate communication between European business units and enterprise third-party data teams, representing Europe in global 3PD forums and strategy sessions
Technical & Operational Excellence
+ Perform advanced data profiling and analysis of third-party data sources to validate quality, coverage, and fitness for business use cases
+ Capture and document metadata, data lineage, transformation rules, and business definitions for all external data sources in enterprise metadata repositories and data catalogs
+ Develop and maintain technical specifications, integration requirements, and data quality rules for external data implementations
+ Monitor, identify, investigate, and resolve data quality issues related to third-party sources, including vendor escalation when necessary
+ Ensure all external data work is properly defined and tracked in Agile/Rally according to enterprise project management standards
Project Leadership & Team Development
+ Provide strong project management leadership for strategic 3PD initiatives, developing detailed project plans, work breakdown structures, risk assessments, and status reporting
+ Lead medium-to-high complexity projects involving multiple stakeholders, coordinating across technical teams, business units, and vendor organizations
+ Coach and develop team members on external data best practices, vendor management, and data governance principles
+ Create training materials and communications to promote awareness and adoption of external data capabilities across the organisation
Enterprise Alignment
+ Represent Travelers Europe in enterprise-level external data governance forums, contributing to global standards and sharing best practices
+ Ensure alignment between European external data initiatives and global enterprise data strategy
+ Contribute to the development of enterprise-wide external data policies, procedures, and tooling.
.
**What Will Our Ideal Candidate Have?**
+ Bachelor's degree in Data Management, Information Systems, Computer Science, Business Analytics, or related field, OR significant relevant experience in external data management, vendor data management, or data product management
+ Minimum 7+ years of experience in data management with at least 3 years focused on third-party/external data
+ Experience in a senior or leadership role managing external data programs, vendor relationships, or data product portfolios
External Data Expertise
+ Deep knowledge of the external data vendor landscape, including major data providers across credit, marketing, geospatial, telematics, IoT, risk, and industry-specific data categories
+ Proven experience evaluating external data products for quality, coverage, accuracy, and business fit
+ Strong understanding of third-party data licensing models, pricing structures, and contract terms
+ Experience with data product management principles and lifecycle methodologies
Technical & Analytical Skills
+ Demonstrated experience with data integration tools (ETL/ELT), data platforms (cloud and on-premise), and emerging data technologies
+ Prior hands-on experience with SQL, Python, Teradata, Hive, and data analysis tools
+ Strong data profiling and data quality assessment capabilities
+ Ability to understand metadata management, data lineage, and data cataloging concepts and tools
Governance & Risk Management
+ Solid understanding of data governance frameworks, policies, and best practices
+ Knowledge of data privacy regulations (GDPR, etc.) and their implications for external data usage
+ Experience developing and implementing data quality standards and monitoring programs
+ Ability to assess and mitigate risks associated with third-party data dependencies
Business & Strategic Acumen
+ Strategic thinker who can translate business needs into external data requirements and solutions
+ Ability to develop compelling business cases that demonstrate ROI and value realization
+ Strong understanding of insurance business processes and decision-making (preferred but not required)
+ Demonstrated ability to influence business priorities and drive adoption of data governance practices
Leadership & Communication
+ Proven ability to lead cross-functional teams and manage complex, multi-stakeholder projects
+ Excellent communication skills with ability to explain technical concepts to non-technical audiences
+ Strong vendor management and negotiation capabilities
+ Ability to build trusted partnerships across business units, IT, legal, procurement, and vendor organizations
+ Experience coaching and developing team members
Project Management
+ Strong project management skills with ability to develop detailed project plans, identify dependencies, manage risks, and drive execution
+ Ability to prioritize competing demands while keeping strategic objectives in focus
+ Experience with Agile methodologies and tools (Rally/Jira)
**What is a Must Have?**
+ Bachelor's degree or significant relevant data and analytics, and/or data management experience.
**What Is in It for You?**
+ **Private Medical Insuran** **ce:** On commencement of employment, you are eligible for single cover provided by Travelers, with the option to add cover for your dependents, at your expense through payroll deduction.
+ **Retirement:** Travelers will make a core contribution of a percentage of salary to your Pension Plan. Additionally, if you decide to contribute to the plan, you will receive an increased company contribution.
+ **Holiday Entitlement:** Start your career at Travelers with a minimum of 25 days holiday entitlement annually, plus the opportunity to purchase additional days to allow for up to a total of 35 holidays per year.
+ **Wellness Programme:** The Travelers wellness programme is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health programme provides access to free professional counseling services and other resources that support your daily life needs.
+ **Volunteer Encouragement:** We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards programme that enables you to give back to the charity of your choice.
**Employment Practices**
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email ( ) so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit .

Job Description

ARTO is partnered with a global biopharmaceutical company focused on developing innovative therapies for rare diseases.

They’re now looking to appoint an Associate Director, Data Management Science to take ownership of study-related data management activities and drive operational excellence across clinical development programs. This role offers the opportunity to lead on data strategy, process improvement, and ensure high-quality, regulatory-compliant data delivery across global studies.

Key reasonability's

• Lead all study-related data management activities, including protocol review, eCRF design, and development of Data Management and Validation Plans.
• Collaborate with cross-functional teams to ensure complete, correct, and fit-for-purpose study datasets for statistical analysis.
• Oversee medical coding, SAE reconciliation, and database lock activities.
• Manage and guide team members or consultants as needed to achieve departmental goals.
• Support process improvement and innovation initiatives within data management science.
• Represent the function in cross-functional study meetings, ensuring alignment and communication between stakeholders.

Qualifications

• Advanced degree in Data Science, Life Sciences, Statistics, or a related field (PhD/MSc preferred).
• 5+ years’ experience in data management or clinical development within pharma, biotech, or CRO settings.
• Strong understanding of data standards (CDISC, CDASH) and regulatory compliance (FDA, ICH, GCP).
• Hands-on experience with data validation, database builds, and clinical programming collaboration.
• Excellent leadership, communication, and cross-functional coordination skills.

Senior Data Management Professional - Data Engineer - EVTS
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 Events & Transcripts (EVTS) Data team operates at the intersection of Product, Engineering, and AI, delivering market-critical data that powers Bloomberg's Corporate Events and Transcripts product EVTS. From earnings calls and shareholder meetings to product launches and conferences, we maintain a global, centralized calendar of market-moving events enriched with transcripts and AI-driven insights.
Our data is embedded in the daily workflows of analysts, traders, and quantitative analysts who depend on accuracy, timeliness, and coverage to act on market-moving signals. We combine scalable ETL pipelines with human-in-the-loop curation to handle the full data lifecycle, ensuring our content meets the highest standards of quality and reliability.
**What's the role?**
Events & Transcripts (EVTS) Data team is seeking a highly motivated Data Engineer with a passion for finance, data, and technology to build and optimize pipelines that power Bloomberg's corporate events and transcripts products. You will be a technical leader, responsible for devising scalable solutions that enhance the accuracy, timeliness, and integrity of our datasets while enabling automation and driving client impact.
In this role, you will be responsible for the transformation, and distribution of structured and unstructured data across EVTS Calendar and Streaming Products. Working closely with Product, Engineering, AI, and Data Technologies, you will modernize our workflows to deliver fit-for-purpose data that underpins critical market workflows.
**We'll Trust You To:**
- Design, build, and maintain robust, scalable data pipelines that support ingestion, transformation, and delivery of large, complex datasets using Bloomberg's Data Technologies stack (Dataflow Recipes) or equivalent frameworks (AWS S3, Lambda, Kafka, Apache Airflow, Python)
- Acquire and normalize data from diverse structured and unstructured sources, expanding coverage and ensuring transparency in how data is collected, enriched, and delivered.
- Analyze and improve internal processes, applying programmatic and machine learning approaches to increase efficiency and automation.
- Design and implement Control frameworks, applying statistical methods and data profiling to identify, validate, and resolve data gaps at scale.
- Collaborate with Engineering, AI, and Product partners to enhance Data Ingestion pipelines, integrate AI driven automation, and deliver scalable, client-ready datasets.
- Lead modernization efforts to evolve EVTS data workflows, ensuring interoperability across systems and enabling broader reuse of data assets.
- Safeguard the creation of high-quality training data for Generative AI extraction models in collaboration with SMEs/AI Engineering.
- Mentor peers and supply technical leadership, guiding design decisions and fostering knowledge-sharing across the team.
- Stay ahead of industry standard methodologies in data engineering, AI-driven automation frameworks to drive continuous improvement.
- Work in a fast-paced, complex, and collaborative setting and be ready to take a hands-on-role in our Data initiatives.
**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.
- BA/BS degree or higher in Computer Science, Statistics, Finance, Data Analytics, or a related STEM/business field, or equivalent professional work experience.
- 3+ years of experience in data quality management, data engineering, or data profiling, ideally within financial data, market research, or technology domains.
- Strong proficiency in Python with hands-on experience manipulating and analyzing large datasets.
- Familiarity with ETL workflows, APIs, and data engineering concepts, with the ability to work across distributed systems.
- Demonstrated expertise in data engineering, with a consistent record of implementing scalable ETL pipelines and data workflows.
- Proven track record to analyze client workflows and dataset usage to ensure data is fit-for-purpose and aligned with business needs.
- Demonstrated expertise in data management principles - including data quality, governance, anomaly detection, and lifecycle management.
- Excellent analytical and problem-solving skills, with the ability to apply quantitative methods to improve processes and guide decisions.
- Strong project management and collaboration skills, with experience leading multi-functional initiatives in fast-paced, global environments.
- Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
We'd Love to See:
- 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.
- Experience working within an Agile/Scrum development methodology, with the ability to adapt processes for data engineering and quality initiatives.
- Experience manipulating and wrangling large datasets to enable scalable quality checks, enrichment, and automation.
**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