Product Manager, Alternative Data - Analytics

What's in it for you:
As a Product Manager on Bloomberg’s Alternative Data team, you will create and own a core set of proprietary analytics that translate raw alternative datasets into actionable insights for investors.

In this role, you will lead the development of new proprietary analytics that will provide clients with real-time data-driven insights into company performance. These products sit at the heart of Bloomberg’s alternative data strategy and are critical to scaling adoption. You’ll work closely with data scientists, engineers, and research partners to design methodologies, validate signals, and deliver analytics used daily by thousands of clients.

The analytics you build will become foundational across Bloomberg — powering Terminal workflows, AI-driven insights, and future data products. This is a highly visible role with the opportunity to shape how alternative data is used by investors and help transform the future of investment research.

We’ll trust you to:
Collaborate with the product team to drive the strategy, roadmap and requirements for alternative data in the company research workflow applications
Own the product vision, roadmap, and execution for proprietary alternative data analytics
Partner closely with data science and engineering to define methodologies
Translate complex analytical concepts into intuitive, client-facing product experiences embedded in Bloomberg workflows
Deeply understand our target user’s business, workflows, and objectives to ensure analytics address real investment questions
Lead cross-functional collaboration across product, engineering, data science, research, sales, and GTM teams
Define success metrics for analytics adoption, usage, and downstream impact on client workflows
Act as product owner for one or more Agile teams, managing priorities, trade-offs, and delivery

You’ll need to have:
5+ years’ experience in financial services, with a data-driven mindset and experience working with alternative data
Demonstrated understanding of alternative data and how it is applied to investment research and company analysis
Experience working with analytical products, metrics, or models (e.g., estimates, benchmarks, indices, composites, signals)
Understanding of the alternative data market landscape and associated use cases/workflows for our products in the market
Ability to collaborate closely with data scientists and engineers on complex analytical problems
Strong judgment in making trade-offs between analytical sophistication, scalability, and usability
Excellent written and verbal communication skills, including the ability to explain complex problems clearly to technical and non-technical audiences
A highly collaborative, ownership-oriented mindset

We’d love to see:
Product management experience building data, analytics, or research platforms
Experience operating in large organizations with multiple stakeholders