Who we are:The Bloomberg Alternative Data team is a fast-growing, high-impact product group building the next generation of data and analytics for company research and intelligence. Our mission is to make alternative data as essential to investment workflows as traditional fundamentals — at global scale.
We sit at the intersection of data science, finance, and product, and are responsible for some of Bloomberg’s most differentiated analytics.
What's in it for you:As a Product Manager on Bloomberg’s Alternative Data team, you will own and evolve 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:- 3+ years of experience in the financial services or alternative data, with a data-driven mindset- 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 Salary Range = 140000 - 295000 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.


We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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