Product Manager, Alternative Data - Data Evaluations and Onboarding San Francisco, CA Posted today

Bloomberg L.P.; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 295,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) + match

Life insurance

Wellness programs

Generous benefits

Job summary

Bloomberg L.P. is seeking a Product Manager for Alternative Data focused on dataset evaluation and onboarding.

You will own the end-to-end process from evaluating contracted datasets to production-ready onboarding, collaborating across data science, engineering, and vendor teams. This role demands strong program management, hands-on data knowledge, and the ability to translate business requirements into precise technical specs.

Qualifications

• 5+ years of product experience with alternative data.
• Strong understanding of alternative data and how investors use it.
• Experience building/managing data evaluation, quality, or onboarding processes.
• Hands-on data experience, including QA and data delivery at scale.
• Ability to translate requirements into detailed specs.
• Experience with data engineers, data scientists, and cross-functional stakeholders.
• Experience with external data vendors or provider relationships.
• Strong written and verbal communication for leadership/external partners.
• Excellent organizational skills to manage concurrent pipelines.

Responsibilities

• Own the dataset evaluation pipeline end-to-end: prioritization, timelines, throughput.
• Translate strategy into structured evaluation frameworks and outputs.
• Collaborate with engineering evaluations team to define requirements and ensure results are decision-ready.
• Engage directly with data providers to gather information.
• Improve evaluation processes to increase speed, rigor, and scalability.
• Own end-to-end onboarding plan for contracted datasets, including delivery requirements and timelines.
• Define and monitor data quality for onboarded datasets post-launch.
• Drive cross-functional execution with data scientists, engineers, and vendors.
• Define and track metrics for evaluation throughput and onboarding speed.

Skills

Alternative data

Dataset evaluation

Onboarding workflows

Cross-functional collaboration

Data quality frameworks

Vendor relationships

Documentation & outputs

Organizational skills

Communication

Job description

Product Manager, Alternative Data - Data Evaluations and Onboarding

Location

San Francisco

Business Area

Product

Ref # 10053983

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.

As product managers, we sit at the intersection of data science, engineering, sales, and clients, and are responsible for some of Bloomberg's most differentiated data capabilities. A core part of that mission is ensuring we can identify, evaluate, and productize the best external data - quickly and at scale.

What's in It for You:

Bloomberg's Alternative Data team is seeking a Product Manager to own our dataset evaluation and onboarding function - the critical process by which we determine whether a dataset meets our product strategy and turn contracted data into production-ready product capabilities.

This is a highly cross-functional, strategic, and analytically rigorous role. You will build and manage the systems that allow Bloomberg to evaluate datasets efficiently, make sound investment decisions, and onboard new data sources at scale. You will work across the full data partnership lifecycle - from translating product requirements into evaluation frameworks, to managing the team’s evaluation pipeline, to getting newly contracted datasets production-ready.

You will have a direct impact on the quality and pace of Bloomberg's alternative data product portfolio, with visibility across product leadership, engineering, data science, and our data vendor ecosystem.

We'll Trust You to:

Own the Dataset Evaluation Process

• Manage the evaluation pipeline end-to-end: prioritization, timelines, and throughput across a concurrent set of active evaluations.
• Translate product strategy requirements into structured, rigorous evaluation frameworks: defining the criteria, methodology, and outputs by which datasets are assessed against the product bar.
• Collaborate with the engineering evaluations team: setting requirements for their analytical work and ensuring results are transparent and decision-ready for product leadership.
• Engage directly with data providers during evaluations: efficiently resolving questions and gather the information needed to complete assessments.
• Continuously improve evaluation processes over time: standardizing, streamlining, and productizing evaluation workflows to increase speed, rigor, and scalability.

Drive Data Onboarding & Productization

• Own the end-to-end onboarding plan for newly contracted datasets - from establishing delivery and technical requirements with the data provider to managing dependencies, launch criteria, and timelines.
• Translate product and business requirements into precise, implementation-ready data and operational specifications - bridging the gap between what the product needs and what engineering and providers must deliver.
• Define and manage ongoing data quality monitoring for onboarded datasets, ensuring production reliability post-launch.
• Drive Cross-Functional Execution collaborating with data scientists, engineers, data scouts, other product managers and data vendors across the partnership lifecycle.

Define and Own Success Metrics

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

You'll Need to Have:

• 5+ years of product experience, with meaningful time spent on alternative data products.
• Strong understanding of alternative data and how institutional investors use it.
• Demonstrated experience building or managing structured analytical or operational processes, ideally in a data evaluation, data quality, or data onboarding context.
• Hands-on experience working with data - including data quality frameworks, QA practices, and the operational realities of delivering reliable data at scale.
• Demonstrated ability to translate high-level product requirements into detailed operational and technical specifications.
• Experience working directly 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; able to produce clear, decision-ready outputs for product leadership and external partners alike.
• Exceptional organizational skills and the ability to manage a concurrent pipeline of evaluations and onboarding workstreams without losing sight of timelines or quality.

We’d love to see:

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

Salary Range = 140,000 - 295,000 USD Annual + 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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