Private Markets Team Lead, Private Markets Content – Enterprise Data Product
Job Summary
- Lead innovation by inspiring mentoring and developing a team that applies data excellence domain expertise and enterprise customer focus to re-imagine private markets data products.
- Drive growth in the Private Markets Data business by defining a forward-looking 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.
- Understand the full private markets data lifecycle including sourcing acquisition extraction normalisation enrichment quality control delivery and client integration.
- Partner with clients to understand their 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 deep relationships with strategic clients driving co-innovation and partnership.
- Represent Bloombergs private markets data strategy influencing stakeholders and supporting commercial growth.
- 20 years of experience in product management within financial data analytics investment technology or enterprise data platforms including 10 years in a leadership capacity.
- Proven experience in product management or equivalent 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 of these 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 including 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 with the ability to articulate complex data technology and private markets concepts clearly to senior stakeholders.
- Ability to travel globally as needed to engage with teams clients and industry partners.
- 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.
Required Experience:
Manager
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more