Senior Data Management Professional - Data Product Owner - Entities

Details

Bloomberg’s products are fueled by powerful information. The Data organization delivers data, news, and analytics through innovative technology, applying problem-solving skills to improve workflows and implement technology solutions across systems, products, and processes.

The Private Companies Data team is responsible for Bloomberg’s private company data model, which supports research, investment analysis, compliance, and due diligence by linking private company data with alternative data, ESG disclosures, financials, news, and other non-foundational datasets.

The Data Product Owner will lead the strategy, development, and integration of Bloomberg’s Private Companies data model with diverse datasets. This role will also evaluate emerging datasets and determine how their integration with company data can create differentiated products and new value for clients.

Responsibilities

• Own the end-to-end strategy and roadmap for Bloomberg’s Private Companies data products, focusing on integrating non-foundational datasets.
• Define the vision for a fit-for-purpose private company data model and align it with evolving client workflows in research, investment, and compliance.
• Research and validate use cases across private markets, including opportunities involving alternative data, ESG, financials, news, and emerging datasets.
• Lead discovery and prioritization activities to evaluate dataset needs, including structure, coverage, transparency, and delivery.
• Translate client and stakeholder feedback into actionable requirements and define acceptance criteria for integrations and enhancements.
• Partner with internal stakeholders to design data linkages and delivery models that maximize usability across products.
• Monitor data product health metrics, including completeness, coverage, linkages, and workflow adoption.
• Promote the importance of integrated private company data across Bloomberg and its client-facing workflows.
• Stay current on trends in private markets, data integration, and emerging non-traditional datasets.

Requirements

• 4+ years of experience working within the financial or private markets data domain.
• Strong knowledge of private company research workflows and how private data is created, maintained, and consumed.
• Proven experience as a Product Owner or Product Manager for data platforms or large-scale datasets.
• Ability to define a 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 mindset with comfort using metrics and KPIs to assess product performance and guide prioritization.
• Strong collaboration and communication skills, with experience working across Product, Engineering, and Data teams.

Preferred Qualifications

• Awareness of emerging trends in private markets, including alternative data and ESG measurement.
• Familiarity with financial workflows that rely on integrated private company data, including due diligence, investment analysis, and regulatory compliance.
• Understanding of third-party data providers and data integration strategies.
• Experience navigating ambiguity in complex, evolving markets.

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. Additional benefits and bonus opportunities may apply.

Actual compensation may vary based on geographic location, work experience, market conditions, education, training, and skill level.