Senior Data Management Professional - Data Product Owner - Entities

Details

Bloomberg's Entities Data team manages core entity and issuer reference data, which identifies legal and operating entities such as public and private companies, government bodies, investment vehicles, and corporate structures. This data supports regulatory compliance, risk modeling, investment analysis, counterparty exposure, ownership research, issuer-to-security mapping, corporate hierarchy analysis, and risk aggregation.

The Data Product Owner will lead the strategy, development, and evolution of Bloomberg's Entity and Issuer data products. The role is accountable for the dataset's overall value delivery, ensuring that it meets client and internal consumer needs while maintaining high standards of quality, transparency, and usability.

Responsibilities

• Own the end-to-end strategy and roadmap for Entity data, balancing technical modernization with business impact.
• Define the vision for a fit-for-purpose Entity data product and maintain alignment with evolving industry use cases.
• Lead discovery and prioritization activities covering dataset structure, quality, coverage, and delivery enhancements.
• Translate internal and external client feedback into product requirements and acceptance criteria.
• Partner with Engineering and Core Product to deliver iterative improvements, manage technical dependencies, and ensure performance and scalability.
• Define and supervise data product health metrics, including completeness, freshness, linkages, and fitness for consumption.
• Promote the importance of Entity data across Bloomberg and help internal teams design and deliver improved data experiences.
• Monitor market trends and regulatory changes related to reference data and entity resolution.

Requirements

• 4+ years of experience working in financial data, with 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.
• Ability to define a data product vision and communicate it clearly to technical and non-technical stakeholders.
• Experience developing product roadmaps, managing backlogs, and leading cross-functional delivery in Agile or hybrid environments.
• Data-driven approach and comfort using metrics to assess product performance and guide prioritization.
• Strong collaboration and communication skills, with experience leading across Product, Engineering, and Data teams.
• Ability to navigate ambiguity and provide structure to complex, evolving domains.

Preferred Qualifications

• 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 increasing complexity of non-public entity structures.
• Familiarity with financial workflows that depend on accurate entity data, including client onboarding, compliance, KYC, counterparty risk, and issuer classification.

Benefits

Benefits and total rewards may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental and vision coverage, short- and long-term disability benefits, a 401(k) match, life insurance, and wellness programs.