Senior Data Management Professional - Data Product Owner - Entities

Details

Bloomberg’s Data organization delivers data, news, and analytics through innovative technology. The Entities Data team manages core entity and issuer reference data covering 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 hierarchies, and private-market 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 value delivery, client needs, product alignment, data quality, transparency, usability, platform modernization, delivery mechanisms, and advanced analytical capabilities.

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.
• Coordinate 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.
• Champion the importance of Entity data across Bloomberg and help internal teams design and deliver better data experiences.
• Monitor market trends and regulatory changes related to reference data and entity resolution.

Requirements

• At least 4 years of experience in financial data, including knowledge of entity and reference data and 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 partners.
• 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 complexity of non-public entity structures.
• Familiarity with financial workflows that rely on accurate entity data, including client onboarding, compliance, KYC, counterparty risk, and issuer classification.

Benefits

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