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Product Manager, Alternative Data - Data Feeds
BloombergNew York City, United Statesfull_timeVerifiedPosted 29 Jul 2026
💰 $295,000/yr($140,000/yr – $295,000/yr)
About the role
Product Manager, Alternative Data - Data Feeds
Location
New York
Business Area
Product
Ref #
10052738
Description & Requirements
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.
What's in it for you:
Bloomberg's Alternative Data team is seeking a Product Manager to own the end-to-end lifecycle of our data feed products. In this role, you will be the primary product owner for Bloomberg's alternative data feed products, setting the strategy, driving new product development, and taking direct accountability for a critical growth area at Bloomberg.
Bloomberg is uniquely positioned to address client needs leveraging alternative data for company research in the age of AI. In this role you will help shape and transform the future of investment research, with high visibility from engineering leadership to buy-side clients and a direct line of sight to commercial outcomes.
We’ll trust you to:
- Own product strategy and roadmap: Define, prioritize, and evangelize the what and the why behind our data feed offerings — identifying new product opportunities, evaluating whitespace, and translating business goals and opportunity into a technical roadmap in close partnership with engineering
- Drive commercial outcomes: Share accountability for revenue and growth metrics for the feeds you own; support pricing, packaging, and competitive positioning decisions in partnership with GTM teams
- Deeply understand our clients: Empathetically understand the business, workflows, and objectives of our target users — including fundamental, quantitative, and systematic investors — and the specific ways they leverage alternative data for signal generation, backtesting, and investment research
- Own data quality and operational reliability: Take product-side accountability for the accuracy, stability, and delivery consistency of your feeds — partnering with engineering and data science on QA frameworks including automated QA systems, outlier detection, and coverage checks; own incident communication and data issue escalation workflows
- Drive cross-functional execution: Collaborate with sales, marketing, customer support, engineering, and data science to bring data feed products to market and drive client engagement at scale
- Lead your Agile team: Serve as product owner to your engineering team — setting development priorities, balancing functional and technical requirements, managing the backlog, and writing precise, implementation-ready PRDs
- Define success metrics: Establish and monitor metrics for engagement, data health, and business impact across products and features
- Manage data vendor relationships: Deeply understand the underlying data and manage key third-party data vendor relationships, including evaluating new data partnerships for coverage, quality, and licensing implications
You'll need to have:
- 5+ years of product experience with data-intensive, data feed, or B2B data products
- Deep understanding of alternative data use cases and institutional investor workflows — including
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