Private Markets Secondary Investment Data Analytics, Data Products & AI Lead

Neuberger Berman
New York, NY
Job Description
Role Overview

The Analytics, Data Products & AI Lead is a senior onshore hire for the Secondary Data Strategy team. This role owns the analytics, AI, automation, and client-data-product layer of the function, with a focus on judgment- and design-heavy work. The individual will lead the intelligence layer supporting the team’s secondary data strategy, including AI-based data extraction, RFP and client datasets, and advanced reporting and analytics, while driving cross-functional coordination across business and technology partners.

What You Will Do

Lead the analytics and data product agenda for the Secondary Data Strategy workstream, translating business needs into scalable reporting, insight, and workflow solutions. Design and enhance the intelligence layer that supports secondary investment data, including standardized reporting outputs, analytical views, and downstream client deliverables. Drive AI- and automation enabled data extraction initiatives to improve efficiency, consistency, and scalability in how investment and market data are captured and structured.

Why It Might Be a Fit

The ideal candidate will have a strong background in analytics, data product development, or data strategy, with the ability to convert complex business requirements into practical solutions. They will also have hands-on experience applying AI/ML to unstructured document and data extraction, and a practical understanding of large language models and generative AI.

Requirements

  • 6–9+ years of relevant experience in analytics, data products, business intelligence, financial data strategy, or a related function.
  • Strong background in analytics, data product development, or data strategy.
  • Hands-on experience applying AI/ML to unstructured document and data extraction.
  • Practical understanding of large language models and generative AI.
  • Ability to design and oversee AI-enabled data pipelines and automation workflows.
  • Awareness of responsible/governed AI practices.
  • Strong communication and stakeholder management skills.
  • High degree of ownership, structured problem-solving ability, and comfort operating in a build-and-improve environment.
  • Private markets or secondaries domain knowledge is highly preferred.

Benefits

  • Paid time off
  • Medical/dental/vision insurance
  • Retirement
  • Life insurance
  • Discretionary bonus
  • Comprehensive package of benefits
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