Senior Data Management Professional - Data Product Owner - Entities Data | London, UK

Bloomberg; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading financial data company in London seeks a Senior Data Management Professional to own entity data product strategy and modernize core data offerings. You will work closely with engineering and data teams to ensure high-quality data products that meet client needs. The role requires over 4 years of experience in financial data and expertise in product management.

Qualifications

• 4+ years in financial data, particularly with Entity and Reference Data.
• Experience as Data Product Owner or Product Manager with large datasets.
• Ability to define and communicate a data product vision.

Responsibilities

• Lead strategy and roadmap for Entity data.
• Define a fit-for-purpose Entity data product vision.
• Manage feedback to translate into actionable product requirements.

Skills

Domain knowledge of Entity and Reference Data

Product vision communication

Agile delivery management

Collaboration and communication skills

Data-driven decision making

Job description

Senior Data Management Professional - Data Product Owner - Entities Data

Senior Data Management Professional - Data Product Owner - Entities Data

Senior Data Management Professional - Data Product Owner - Entities Data

Location
London

Business Area
Data

Ref #
10043936

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!

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