Product Manager, Alternative Data - Data Evaluations and Onboarding

Bloomberg; New York (NY); On-site; USD 140,000 - 295,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Bloomberg seeks a Product Manager for Alternative Data—Data Evaluations and Onboarding in New York. You will own the end-to-end evaluation pipeline, define evaluation frameworks, and coordinate with engineering and data providers to onboard datasets efficiently.

You will lead cross-functional efforts across data science, engineering, and product leadership to improve data quality, throughput, and scalability, while delivering decision-ready outputs.

Qualifications

• 5+ years of product experience in alt data or similar
• Experience translating requirements into operational specs
• Strong communication with data engineers, data scientists, and stakeholders
• Ability to manage end-to-end data evaluation and onboarding processes
• Experience with data quality frameworks and QA practices

Responsibilities

• Own the evaluation pipeline end-to-end: prioritization, timelines, throughput.
• Translate product requirements into evaluation criteria and outputs.
• Collaborate with engineering evaluations team to define analytical requirements.
• Engage with data providers to gather information for assessments.
• Standardize and streamline evaluation workflows for speed and rigor.
• Own onboarding plan for newly contracted datasets, from delivery to launch criteria.
• Translate product and business needs into data and operational specs for engineering and providers.
• Define ongoing data quality monitoring for onboarded datasets.
• Drive cross-functional execution with data scientists, engineers, and data vendors.

Skills

Product management

Alternative data

Cross-functional collaboration

Data quality

Job description

Product Manager, Alternative Data - Data Evaluations and Onboarding

Location

New York

Business Area

Product

Ref #

10053981

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.

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.
• 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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