17 Query Optimization 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

**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

Title:
Principal Information Management Specialist - Data Management
Job Posting Description
KBR is a global provider of differentiated, professional services and technologies delivered across a wide government, defense and industrial base. Drawing from its rich 100-year history and culture of innovation and mission focus, KBR creates sustainable value by combining engineering, technical and scientific expertise with its full life cycle capabilities to help our clients meet their most pressing challenges today and into the future.
We deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 80 countries and operations in over 29 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results. At KBR, We Deliver.
With a plethora of opportunities on the horizon, the Integrated Solutions Information Management team is looking to connect with the best and the brightest. Our team provides engineering, procurement, construction, and program management services for hydrocarbons and energy transition industries - both onshore and offshore. We offer holistic and value-added solutions across the entire asset life cycle.
A Career at KBR could see you:
+ working in a diverse and challenging environment as part of a team that strives to deliver high-quality and innovative engineering solutions to our customers.
+ develop your skills and gain experience in an inclusive environment which will open a range of career opportunities
+ join a Team of Teams of passionate professionals, working together in a collaborative and supportive environment that encourages creative problem-solving and teamwork to make a positive impact to the world.
+ Work for a company that understands the importance of work-life balance and empowers employees to have the time and the tools they need to deliver their goal.
What do KBR offer?
We offer challenging opportunities, competitive salaries, and a comprehensive benefits package that includes Private Medical Insurance, Employer Pension Contributions, Life Assurance, Personal Accident cover, Income Protection and much more. We also offer flexible working arrangements and the opportunity to make a real difference in the world.
Future Opportunities:
KBR Information Management team supports the engineering function and information systems used, to ensure that engineering data is correct, complete, consistent.
Data Managers administrate data repositories for the storage and maintenance of engineering and supplier data. It involves receiving and performing data transfers, validation, change management, reporting and analysis to ensure effective handover of a complete, accurate dataset.
What you will be doing:
As a Data Manager you will be responsible for development and implementation of Class Library and the setup, management, and operation of Engineering Data Warehouse and the operation of interfaces with engineering applications.
You define data management plans for engineering and supplier data delivery across project phases and interfaces. Development and maintenance of project tag numbering schema, class libraries, deliverable production, reporting and data progress measurement.
Other roles and responsibilities include:
+ Plan, direct, co-ordinate and be the focal point for all data management activities.
+ Liaise with engineering and supply chain to ensure the completion and compliance of data submission.
+ A strong understanding, experience and expertise in the management of Engineering Data Warehouse and Class Library (AVEVA Engineering or Hexagon Smartplant Foundation toolset).
+ Engineering Data Warehouse
+ Configure Grids for data entry.
+ Tag management.
+ Support development of Engineering key list data.
+ User support.
+ Class Library Management (e.g. AVEVA ISM)
+ Define and maintain corporate/project Class Library.
+ Define tag naming format.
+ Configuring controlled value lists, UOMS etc.
+ Manage data to other applications such as AVEVA Net/Engage.
+ Demonstrate strong understanding of IM and Data Management concepts i.e. Data Class Libraries, Interfaces with Engineering Applications etc
+ Manage multi-location, IM data management teams.
+ Liaise with Client and/or Construction and/or Completions team personnel to ensure commissioning/operational hand-over requirements are understood & being met.
+ Define and develop data reports on completeness and statistics.
+ Provide regular reports on completeness of data set.
+ Coordinate with engineering disciplines to resolve any data inconsistencies, errors, or mapping issues.
What you will need:
+ University degree qualification or equivalent oil and gas industry experience.
+ Experience in an Engineering, Designer or information management role.
+ An understanding of relational database applications to analyse, manipulate and transfer data.
+ Experience of using AVEVA Engineering/information standards manager (ISM), Life Cycle Server, SMARTPLANT Foundation.
+ Knowledge of AVEVA Net, AVEVA Engage and AIM an advantage.
+ SSRS, OBIEE, Power BI reporting or similar required. PML, procedural SQL etc an advantage.
+ Working knowledge of CFIHOS or other equivalent class libraries.
Life at KBR.
We attract the best minds as our expertise thrives on creativity, resourcefulness and collaboration. That is how we supply our clients with innovative solutions. We are a diverse team of experienced projects managers, technical specialists, commercial professionals and engineers. Competitive benefits and professional development, we empower people to use all their potential, creating meaningful change for themselves and clients.
When you become part of the KBR team, your opportunities are endless. Through collaboration with our customers, we're defining tomorrow's challenges, then providing the solutions and services to overcome those challenges, always maintaining our commitment to total safety and reliability.
At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions throughout their entire lifecycle, from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.
#LI-PS1

**JOIN AMGEN'S MISSION OF SERVING PATIENTS**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**ASSOCIATE VICE PRESIDENT, CLINICAL DATA MANAGEMENT**
**Live**
**What you will do**
The Associate Vice President, Clinical Data Management is a member of the Global Development Operations (GDO) leadership team and is a strategic partner to the R&D organization.
**You will lead Amgen's Clinical Data Management function within GDO, ensuring the highest quality of clinical data collection, processing, and analysis to support regulatory submissions and clinical development** **programs.** **This role is responsible for the strategic direction, leadership, and operational oversight of data management processes supporting clinical trials across all therapeutic areas and phases.**
You will collaborate closely with cross-functional teams including clinical operations, biostatistics, regulatory affairs, and quality to drive data integrity and compliance with global regulatory standards.
The role requires a visionary leader with deep expertise in CDM and a proven ability to scale and lead global teams in a complex matrix environment.
**Responsibilities:**
+ **Develop and drive the global data management strategy in alignment with clinical development objectives and corporate goals.**
+ **Provide strategic and operational leadership to the Clinical Data Management (CDM) function across all clinical programs and phases.**
+ **Lead innovation initiatives, including the implementation of development integration programs and the adoption of cutting-edge technologies to enhance data workflows.**
+ Represent Clinical Data Management in executive leadership discussions, regulatory interactions, and industry forums.
+ Establish and enforce robust clinical data governance models, policies, and risk mitigation strategies to ensure quality and compliance.
+ **Make final decisions regarding standard operating procedures (SOPs), CDM best practices, and process optimization.**
+ Engage key stakeholders and ensure timely resolution on critical data integrity and regulatory compliance issues.
+ Serve as the primary CDM representative during regulatory inspections and audits, with responsibility for final decisions on findings, responses, and corrective actions.
+ Influence cross-functional clinical development, operational, and regulatory strategies through data-driven insights and analytics.
+ Partner closely with Clinical Program Operations, Regulatory, Biostatistics, and R&D to ensure seamless integration and alignment of clinical data.
+ Build and maintain strategic relationships with CROs, vendors, regulatory authorities, and industry organizations to advance CDM excellence.
+ Influence internal leadership and functional partners to promote data-driven decision-making across clinical programs.
+ Lead audit readiness efforts and promote a culture of continuous improvement and compliance within the CDM function.
+ Implement protocols and tools to ensure data security, integrity, and risk management across all platforms and studies.
+ Optimize staffing, outsourcing strategies, and technology investments to improve cost-efficiency, scalability, and delivery timelines.
**Win**
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The candidate we seek is an experienced leader with the following qualifications.
**Basic Qualifications:**
+ **Degree educated in relevant discipline**
+ **Extensive data management experience including managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources**
**Preferred Qualifications:**
+ Experience within clinical data management, regulatory compliance, and strategic leadership within a pharmaceutical, biotech, or CRO environment.
+ **Expertise in GCP, ICH, FDA, EMA regulations, data governance, and clinical trial data standards (CDISC, SDTM).**
+ Experience within cross-functional collaborations, leadership, and strategic planning skills, ensuring operational excellence and compliance while driving innovation in data management to support Amgen's global clinical development efforts.
+ Expertise in AI/ML-driven data management solutions, automation, and advanced analytics.
+ **Understanding of clinical data standards (CDISC, SDTM, ADaM).**
+ **Experience leading regulatory submissions, including NDA/BLA/MAA filings and advisory committee interactions**
+ Proven ability to drive organizational change, optimize processes, and implement lean principles in clinical data management.
+ Cross-functional collaboration experience with clinical operations, regulatory affairs, biostatistics, and R&D teams.
+ **Experience managing FSP relationships and technology implementations (EDC, CTMS, RWD/RWE).**
+ **Knowledge of emerging trends in digital health, data governance, and data privacy regulations (GDPR, HIPAA).**
+ Familiarity with decentralized trial models and digital health technologies.
The successful candidate will also embody the Amgen leadership attributes which are:
+ **Inspire:** Create a connected, inclusive, and inspiring work environment that empowers talent to thrive
+ **Accelerate:** Enable speed that matches the urgency of patient needs by encouraging progress over perfection
+ **Integrate:** Connect the dots to amplify the collective power of Amgen to drive results for patients, staff, and shareholders
+ **Adapt:** Lead through change by adapting to an ever-changing environment and defining a clear course of action to deliver results
**Thrive**
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided 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 accommodation.

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

Senior Data Management Professional - Data Product Owner - Entities Data
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 a complete picture for our clients-around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology-quickly and accurately. We apply product thinking, deep domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape.
**Our Team:**
The Entities Data team is responsible for Bloomberg's core entity and issuer reference data-a foundational component of the financial data ecosystem. Entity data uniquely identifies and defines legal and operating entities such as public and private companies, government bodies, investment vehicles, and corporate structures. It provides critical linkages between datasets and is crucial for use cases including regulatory compliance, risk modeling, investment analysis, counterparty exposure, and ownership research.
This data powers a wide range of financial applications-from mapping issuers to securities and understanding corporate hierarchies, to identifying exposure to private market entities and aggregating risk at the parent or group level. Maintaining accurate, timely, and scalable entity data is crucial for client trust and operational efficiency, and as such, we are undergoing a strategic modernization of our platform to support new capabilities and emerging market needs.
**The Role:**
We are seeking a Data Product Owner to lead the strategy, development, and evolution of Bloomberg's Entity and Issuer data products. You will be accountable for the overall value delivery of the dataset-ensuring it meets the current and emerging needs of Bloomberg clients, aligns with internal product goals, and adheres to high standards of quality, transparency, and usability.
You will evaluate and prioritize improvements to the dataset based on feedback from clients, internal consumers, and subject matter experts. You will create and maintain a comprehensive delivery roadmap that balances short-term enhancements with long-term innovative goals. Working in close partnership with Engineering, Data, and Product Management teams, you'll drive initiatives that modernize the dataset, improve delivery mechanisms, and support advanced analytical capabilities across platforms.
**We'll trust you to:**
+ Own the end-to-end strategy and roadmap for the Entity data, balancing technical modernization with business impact.
+ Define the vision of what a fit-for-purpose Entity data product looks like and ensure its continuous alignment with evolving industry use cases.
+ Lead discovery and prioritization activities to evaluate dataset needs-including structural, quality, coverage, and delivery enhancements.
+ Translate internal and external clients feedback into actionable product requirements and define acceptance criteria for new features.
+ Coordinate with Engineering and Core Product to deliver iterative improvements, manage technical dependencies, and ensure high performance and scalability.
+ Define and supervise data product health metrics such as completeness, freshness, linkages, and fitness for consumption.
+ Champion the importance of Entity data across Bloomberg, helping internal teams design and deliver better data experiences.
+ Stay current on market trends, regulatory changes related to reference data and entity resolution.
**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* working within the domain of financial data, with domain knowledge of Entity and Reference Data, including how it is built, maintained, and consumed in financial markets.
+ Proven experience as a Data Product Owner or Product Manager working with large-scale datasets or data platforms.
+ The ability to define a data product vision and communicate it clearly across technical and non-technical partners.
+ Experience developing product roadmaps, managing backlogs, and leading cross-functional delivery in Agile or hybrid environments.
+ A data-driven approach with comfort using metrics to assess product performance and guide prioritization.
+ Strong collaboration and communication skills, with a track record of leading across Product, Engineering, and Data teams.
+ Experience navigating ambiguity and delivering structure to complex, evolving domains.
**We'd love to see:**
+ Experience with data governance, quality frameworks, and metadata management.
+ Understanding of third-party entity data providers and integration strategies.
+ Experience with modern data infrastructure and architecture, including APIs, data pipelines, or LLM-based enrichment solutions.
+ Awareness of emerging trends in Private Markets data and the growing complexity of non-public entity structures.
+ Familiarity with financial workflows that rely 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

Senior Data Management Professional - Data Product Owner - 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:**
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. Our team provides evaluation and annotation frameworks. 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.
**The Role:**
As a Data Product Owner, you will be responsible for providing subject matter expertise in fixed income data and annotation program management, to contribute to the development of generative AI systems. You will play a crucial role, in collaboration with product and engineering teams to implement strategies to gather and scale evaluations and annotations to drive continuous improvements for these systems. You will be accountable for the overall value delivery of the fixed income annotated datasets - ensuring it meets the current and emerging needs of Bloomberg clients, aligns with internal product goals, and adheres to high standards of quality, transparency, and usability.
**We'll trust you to:**
+ Define the evaluation strategy for conversational systems focusing on the fixed income domain, ensuring alignment with market-specific nuances, end-users expectations and Bloomberg domain-specific strategy.
+ Own the end-to-end vision and roadmap for collecting evaluation datasets fit for the purpose of credit analysts workflows.
+ Drive discovery and prioritization efforts to improve data robustness, annotation accuracy, and overall quality across datasets used for model evaluation and enhancements.
+ Leverage data analytics and insights to uncover trends, identify gaps, and inform annotation methodologies that enhance model performance and user trust.
+ Tackle complex annotation challenges with thoughtful solutions while enforcing strong data governance and integrity standards.
+ Stay up-to-date with industry trends and standard methodologies in generative AI, evaluation, data annotation and fixed income data management.
+ Collaborate cross-functionally with Product, Engineering, Data and other domain experts to steer a results-driven and scalable evaluation 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 recent work experience in the financial services industry, focusing on Fixed Income
+ Strong understanding of credit analyst workflows and data needs
+ Demonstrated experience in data management concepts, for example in improving data accuracy, completeness or timeliness
+ A proven track record of successful project management skills and ability to prioritize tasks accordingly
+ Proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product
+ Customer-focused approach and the ability to interact with a diverse range of clients
+ Proven ability to take a logical approach and apply critical thinking skills in order to tackle problems
**We'd Love to See:**
+ Knowledge of Python and SQL
+ DAMA CDMP or DCAM certifications
+ Keen interest and familiarity with generative AI frameworks
+ Experience in semantic structures or data modeling
+ Experience using data visualization tools such as Tableau, QlikSense, or Splunk
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

Senior Data Management Professional - Data Product Owner - Annotation Management and Dialogue Labeling
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 workflow efficiencies, implement technology solutions to enhance our systems, products, and processes, and provide support to our clients.
**Our Team**
The Bloomberg Data AI group brings cutting-edge AI technologies into Bloomberg's Data organization, supplying deep domain expertise to the development of AI-powered products. One of our core areas focuses on Dialogue Labeling and Annotation Management, supporting Natural Language Processing (NLP) enrichments across multiple communication platforms. These enrichments are critical for structuring unstructured client communications and fueling intelligent downstream search, classification, summarization, and insight generation.
Our team builds and manages scalable annotation frameworks, driving quality training and evaluation datasets. We partner closely with Product and Engineering to elevate the performance of Machine Learning (ML) models, enrichments, and features delivered to clients. Looking forward, our roadmap includes expansion into communication-based search insights and further enhancements of ML enrichments.
What's The Role
As a Data Product Owner, you are a true hybrid professional - a bridge between deep financial domain expertise and cutting-edge technology. You will play a pivotal role in solving complex data challenges in finance by ensuring our data collection, documentation, and tooling adhere to MDLC (Machine Learning Development Lifecycle) best practices.
This role requires a strategic mindset around ML training data design, a strong understanding of data modeling and schema architecture, and the ability to align data strategies with product objectives. You will also be responsible for designing data pipelines and annotation schemas that support search relevance modeling, query understanding, and text summarization, enabling fast, relevant, and trustworthy information delivery from communication streams. You'll be expected to guide the data design that supports extracting intent, identifying salient content, and generating concise responses or insights that drive decision-making for Bloomberg clients. You may also be responsible for providing support for our NLP solutions in other domains involving complex financial instruments.
**We'll Trust You To**
+ Own the end-to-end Annotation Lifecycle, from schema development to annotation execution, with an eye toward ML performance and product utility.
+ Bridge the gap between finance and AI/ML by mastering domain-specific concepts that elevate communications experiences.
+ Design and manage annotation programs for search and summarization use cases, including training data for relevance ranking, query-document matching, and text abstraction.
+ Develop scalable strategies for data labeling and dialogue annotation, tailored for NLP enrichments across communication products.
+ Shape and evolve schematic structures and data models that serve as the foundation for annotation quality and reuse.
+ Define metadata structures and enrichment tags that help interpret communication context, intent, and relevance to user queries.
+ Collaborate with ML engineers and product stakeholders to align annotation efforts with model requirements and product goals.
+ Drive quality and consistency across annotation processes by developing clear guidelines, validation metrics, and governance frameworks.
+ Leverage insights and analytics to iterate on annotation strategies and measure downstream model and product impact.
+ Lead efforts to improve annotation throughput, coverage, and enrichment scope by identifying automation and optimization opportunities.
+ Stay current on trends in search technologies, summarization architectures, and best practices for building reliable training datasets in these domains.
+ Serve as a domain expert in data structuring, labeling, and ML data design within communications-focused NLP use cases.
**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 experience working in AI/ML data roles, ideally focused on NLP, communications, or information extraction.
+ Proven experience with annotation programs, dialogue labeling, or large-scale training/evaluation dataset development.
+ Strong grasp of data modeling, schema design, and best practices for structuring unstructured data.
+ Familiarity with search infrastructure and summarization models, and how data influences relevance ranking and response generation.
+ Demonstrated ability to design, scale, and govern data pipelines that support high-impact ML model training and evaluation.
+ Comfort engaging with ML practitioners to co-design data schemas and evaluate performance trade-offs.
+ Excellent project management skills and the ability to manage competing priorities across multiple stakeholders.
**We'd Love to See**
+ Knowledge of Python, SQL, and common ML/NLP tooling.
+ Experience working with annotation tools or platforms (e.g., Prodigy, Labelbox, Snorkel, etc.).
+ Background in information retrieval, semantic search, or abstractive summarization.
+ Familiarity with model lifecycle practices (training, fine-tuning, evaluation).
+ Experience with generative AI systems and prompt evaluation workflows.
+ Certification in data governance (e.g., DAMA CDMP, DCAM).
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

Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials
Location
London
Business Area
Data
Ref #

**Description & Requirements**
Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. We're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
**Our Team:**
The Company Financials (CoFi) Data team designs and builds company analysis tools for the Bloomberg Terminal. This includes marquee applications on Bloomberg terminal which supports data related to financial analysis, analyst recommendations, and earnings estimates. The team is responsible for tracking the evolution of data points from data processing to database taxonomy as well as API syntax design and front-end application development.
What's the role?
You will be responsible for defining, articulating and leading the implementation of the product vision and strategy for our metadata discovery layer. You will partner with product managers to identify commercial targets and define the use cases to be pursued and prioritized. You will act as the main point of contact between our product and data teams to improve our company financials taxonomy and data model, ensuring a consistent experience for our clients across all delivery methods. While collaborating closely with our data modelers, ontologists and domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer.
**We'll trust you to:**
+ Maintain and evolve a roadmap for the discovery layer of the Company Financials products
+ Partner with Product, Engineering and Data to ensure deliverables are well defined and detailed, and align with the overall business goals
+ Drive product development, build and analyze metrics to measure business impact and success
+ Prioritize and balance resources across teams
+ Communicate progress effectively with stakeholders at all levels
+ Stay on top of the competitive environment and client trends
**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 Product Manager experience bringing sophisticated products to market*
+ Knowledge of how company financials data is used by different financial market players
+ Proven skills in designing systems for data modelling and semantic modelling
+ Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product
**We'd love to see:**
+ Experience operating in an Agile environment
+ Bachelor's, Master's, or PhD in a STEM field, Economics, or Finance
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