Product Manager, Alternative Data - Data Evaluations and Onboarding

Details

The Bloomberg Alternative Data team is a fast-growing product group building data and analytics for company research and intelligence. The team’s mission is to make alternative data essential to investment workflows alongside traditional fundamentals at global scale.

This Product Manager will own the dataset evaluation and onboarding function, determining whether datasets meet product strategy requirements and turning contracted data into production-ready product capabilities. The role works across data science, engineering, sales, clients, product leadership, and external data providers.

Responsibilities

Own the Dataset Evaluation Process

• Manage the evaluation pipeline end-to-end, including prioritization, timelines, and throughput across concurrent evaluations.
• Translate product strategy requirements into structured evaluation frameworks, including assessment criteria, methodologies, and outputs.
• Collaborate with the engineering evaluations team by setting requirements for analytical work and ensuring results are transparent and decision-ready for product leadership.
• Engage directly with data providers during evaluations to resolve questions and gather the information needed to complete assessments.
• Continuously improve, standardize, streamline, and productize evaluation workflows to increase speed, rigor, and scalability.

Drive Data Onboarding and Productization

• Own the end-to-end onboarding plan for newly contracted datasets, from establishing delivery and technical requirements with data providers through dependencies, launch criteria, and timelines.
• Translate product and business requirements into precise, implementation-ready data and operational specifications.
• Define and manage ongoing data quality monitoring for onboarded datasets to ensure production reliability after launch.
• Drive cross-functional execution with data scientists, engineers, data scouts, other product managers, and data vendors across the partnership lifecycle.

Define and Own Success Metrics

• Establish and rigorously track metrics for evaluation throughput, onboarding speed, and data quality.
• Continuously assess and improve the efficiency and scalability of evaluation and onboarding processes.

Requirements

• 5+ years of product experience, including meaningful experience with alternative data products.
• Strong understanding of alternative data and how institutional investors use it.
• Experience building or managing structured analytical or operational processes, ideally involving data evaluation, data quality, or data onboarding.
• Hands-on experience working with data, including data quality frameworks, QA practices, and the operational realities of delivering reliable data at scale.
• Ability to translate high-level product requirements into detailed operational and technical specifications.
• Experience working with data engineers, data scientists, and cross-functional stakeholders in large organizations.
• Experience working directly with third-party data vendors or managing external data provider relationships.
• Strong written and verbal communication skills, with the ability to produce clear, decision-ready outputs for product leadership and external partners.
• Exceptional organizational skills and the ability to manage concurrent evaluation and onboarding workstreams while maintaining timelines and quality.

Preferred Experience

• Product management experience building data, analytics, or research platforms.
• Experience operating in large organizations with multiple stakeholders.

Benefits

Salary: $140,000–$295,000 USD annually, plus benefits and bonus.

Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs. Actual compensation may vary based on geographic location, work experience, market conditions, education or training, and skill level.