Private Markets - Team Lead, Private Markets Content – Enterprise Data Product

Details

Bloomberg Enterprise Data is seeking a Team Lead to drive the global evolution of its private markets data business. This senior leadership role sits at the intersection of financial data, product strategy, and AI-enabled innovation. The role is responsible for defining and executing the strategic roadmap for private markets data products across private equity, private credit, infrastructure, real estate, and related alternative asset classes.

The team identifies, designs, and delivers data solutions that leverage Bloomberg’s proprietary analytics, data infrastructure, and private markets data. The role requires an understanding of private markets data sourcing, client workflows, data delivery mechanisms, APIs, feeds, cloud-based distribution, and target client segments including GPs, LPs, asset owners, allocators, consultants, fund administrators, and other service providers.

Responsibilities

• Lead, inspire, mentor, and develop a high-performing team of product managers.
• Drive growth in the Private Markets Data business by defining product strategy, prioritising high-impact initiatives, and executing with agility.
• Develop and expand datasets across private equity, private credit, infrastructure, real estate, and related private markets segments.
• Manage the private markets data lifecycle, including sourcing, acquisition, extraction, normalisation, enrichment, quality control, delivery, and client integration.
• Partner with clients to understand investment, due diligence, portfolio monitoring, valuation, risk, reporting, benchmarking, sustainability, and AI-driven workflow needs.
• Apply data-driven intelligence to measure product performance, identify coverage and quality gaps, uncover client insights, and guide roadmap decisions.
• Collaborate across Product, Engineering, Data, Sales, and Client Solutions to deliver commercial and technical innovation aligned with market needs.
• Build relationships with strategic clients and drive co-innovation and partnership.
• Represent Bloomberg’s private markets data strategy, influence stakeholders, and support commercial growth.
• Champion practical AI-driven transformation, including automation, agentic AI approaches, and intelligent data workflows.

Requirements

• 10+ years of product management experience within financial data, analytics, investment technology, or enterprise data platforms, including 5+ years in a leadership capacity.
• Proven product management or equivalent experience, particularly in private markets data, alternative assets, institutional investment workflows, or financial data products.
• Deep understanding of private markets asset classes, including private equity, private credit, infrastructure, and real estate, with expertise in at least two areas.
• Strong knowledge of private markets client cohorts, including GPs, LPs, asset owners, allocators, consultants, fund administrators, and service providers.
• Understanding of private markets workflows such as due diligence, manager selection, portfolio monitoring, valuations, performance analysis, benchmarking, exposure analysis, capital flows, and reporting.
• Strong grasp of data science, AI, automation, and emerging agentic technologies, with the ability to translate these concepts into practical financial data products and client workflows.
• Experience defining and executing product strategies that deliver measurable commercial, client, or operational outcomes.
• Understanding of enterprise data delivery models, including APIs, data feeds, cloud delivery, data platforms, metadata, identifiers, entitlements, and data quality frameworks.
• Excellent communication skills and the ability to clearly articulate complex data, technology, and private markets concepts to senior stakeholders.
• Ability to travel globally as needed to engage with teams, clients, and industry partners.

Preferred Qualifications

• Passion for AI innovation and the evolving landscape of intelligent, agentic data systems.
• Understanding of cross-asset financial instruments and entities data models, and how private markets data connects with public markets, portfolio analytics, risk, regulation, and sustainability workflows.
• Exposure to client workflows across investment management, portfolio construction, risk, valuation, regulation, reporting, or sustainability.
• Experience with Python, R, SQL, or other data science and analytics tools.
• Experience with cloud-based data delivery, data marketplaces, or modern enterprise data platforms.

Compensation And Benefits

• Salary range: $180,000–$350,000 USD annually.
• 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.