Product Manager, Alternative Data - Data Feeds

Bloomberg•New York, NY

1d•$140,000 - $295,000•Onsite

About The Position

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. 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.

Requirements

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 how quant, fundamental, and systematic investors leverage transaction-level, consumer, and B2B spend data for signal testing, backtesting, and alpha generation
Hands-on experience working with data, including familiarity with data quality, QA practices, and the operational realities of delivering high-reliability data products
Demonstrated commercial accountability — you've had direct line of sight to revenue, ARR, or P&L outcomes for a product you owned, and have made decisions that measurably impacted commercial results
Demonstrated ability to write implementation-ready PRDs and manage complex delivery processes across multiple teams
Experience working directly with data engineers, data scientists, and cross-functional stakeholders across large organizations
Strong client-facing communication skills; comfortable on sales calls and managing client escalations
Strong organizational skills and the ability to manage multiple concurrent initiatives without losing sight of delivery timelines

Nice To Haves

Familiarity with Bloomberg data products, the Bloomberg Terminal, or enterprise data delivery platforms (e.g., Snowflake, Databricks)
Exposure to data delivery infrastructure: APIs, flat files, cloud storage, portal-based delivery
Demonstrated working knowledge of applying alternative data to surface investment opportunities or answer investment research questions
Experience managing or partnering on third-party data vendor relationships
You've successfully executed in large company settings, collaborating across multiple stakeholders to bring scaled products to market

Responsibilities

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