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Product Manager, Alternative Data Data Evaluations and Onboarding
Job Location:
Job Location:
San Francisco, CA - USA
Yearly Salary:
USD 140000 - 295000
Yearly Salary:
Posted:
19 September 2026 (22 hours ago)
Posted:
Application Deadline:
17 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Product Manager Alternative Data - Data Evaluations and Onboarding
Location
San Francisco
Business Area
Product
Ref #
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 Bloombergs 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.
Whats in It for You:
Bloombergs 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 teams evaluation pipeline to getting newly contracted datasets production-ready.
You will have a direct impact on the quality and pace of Bloombergs alternative data product portfolio with visibility across product leadership engineering data science and our data vendor ecosystem.
Well 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.
Youll 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.
Wed love to see:
- Product management experience building data analytics or research platforms.
- Experience operating in large organizations with multiple stakeholders.
Salary Range 00 USD Annual Benefits Bonus
The referenced salary range is based on the Companys 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.
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.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture values and the people behind our success.
Required Experience:
IC
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more
