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

Overview

In this role you lead Bloomberg’s private markets data products, shaping the strategic roadmap and driving AI-enabled innovation. You manage a global team of product managers, aligning data solutions across private equity, private credit, infrastructure, and real estate with client workflows. You’ll partner with clients and cross-functional teams to deliver scalable data products that address fragmentation and opacity in private markets. The opportunity combines data strategy, enterprise distribution, and AI-driven transformation to impact buy-side and related clients.

Responsibilities

• Define and execute the strategic roadmap for private markets data products.
• Lead and develop a high-performing product management team with a focus on innovation and commercial outcomes.
• Expand datasets across private markets segments and manage full data lifecycle from sourcing to delivery.
• Collaborate with clients to understand investment, due diligence, and portfolio needs and translate them into product features.
• Apply data-driven metrics to assess product performance, gaps, and client insights to inform roadmap decisions.
• Partner with Engineering, Data, Sales, and Client Solutions to drive cross-functional innovation aligned with market needs.
• Build and deepen relationships with strategic clients to enable co-innovation and partnerships.
• Represent and advocate for private markets data strategy to stakeholders and support commercial growth.

Key requirements

• 10+ years in product management within financial data, analytics, investment technology, or data platforms, including 5+ years in leadership.
• Proven track record in private markets data, alternative assets, or institutional investment workflows.
• Deep knowledge of private markets asset classes (at least two): private equity, private credit, infrastructure, real estate.
• Understanding of private markets client cohorts: GPs, LPs, asset owners, allocators, consultants, fund administrators, service providers.
• Knowledge of private markets workflows (due diligence, manager selection, portfolio monitoring, valuations, benchmarking, reporting).
• Strong grasp of data science, AI, automation, and their application to financial data products and client workflows.
• Experience defining and delivering product strategies with measurable outcomes.
• Understanding of APIs, data feeds, cloud delivery, data platforms, metadata, entitlements, and data quality.

• excellent communication
• client-focused collaboration
• leadership and mentorship
• data science and AI concepts
• APIs and cloud-based data delivery
• data platforms and data quality frameworks

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