Senior Data Management Professional - Data Product Owner - Entities Data

About the Role

Key Responsibilities

• 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.

Requirements

• 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.

Nice to Have

• 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.

Qualifications

• Educational background is not explicitly specified, but extensive experience in financial data domain is required.

Benefits & Perks

• Salary range of $110,000 - $190,000 USD annually plus benefits and bonus.
• Comprehensive and generous benefits plan including merit increases, incentive compensation, paid holidays, paid time off, medical, dental, vision, short and long-term disability benefits, 401(k) with match, life insurance, and wellness programs.