Product Manager, Alternative Data: Onboarding & Evaluation

Bloomberg; San Francisco (CA); On-site; USD 140,000 - 295,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision benefits

401(k) + match

Life insurance

Wellness programs

Job summary

Bloomberg's Alternative Data team seeks a Product Manager to own dataset evaluation and onboarding, turning contracted data into production-ready capabilities. You will work across data science, engineering, sales, and clients to guide evaluation frameworks and the partnership lifecycle.

This role is cross-functional, strategic, and analytically rigorous, focusing on building systems to evaluate datasets efficiently, and drive timely onboarding with clear criteria and launch milestones.

Qualifications

• 5+ years of product experience, including data products.
• Experience with alternative data and investment workflows.
• Experience building or managing data evaluation, quality, or onboarding processes.

Responsibilities

• Manage end-to-end evaluation pipeline for datasets, including prioritization and timelines.
• Translate product requirements into evaluation frameworks and outputs.
• Collaborate with engineering and data teams to ensure transparent, decision-ready results.
• Engage with data providers to gather necessary information for assessments.
• Improve evaluation processes to increase speed, rigor, and scalability.
• Own onboarding plan for contracted datasets from delivery to launch criteria.
• Define data and operational specifications bridging product needs and engineering.
• Define and monitor ongoing data quality post-launch.
• Drive cross-functional execution with data scientists, engineers, and vendors.

Skills

Product management

Alternative data

Data onboarding

Data quality frameworks

Cross-functional collaboration

Requirements translation

Job description

Bloomberg's Alternative Data team seeks a Product Manager to own dataset evaluation and onboarding, turning contracted data into production-ready capabilities. You will work across data science, engineering, sales, and clients to guide evaluation frameworks and the partnership lifecycle.

This role is cross-functional, strategic, and analytically rigorous, focusing on building systems to evaluate datasets efficiently, and drive timely onboarding with clear criteria and launch milestones.