Senior Data Management Professional - Data Product Owner (Data AI)

Bloomberg; New York (NY); On-site; USD 110,000 - 190,000; Full time

Benefits offered by this job

Benefits plan

Bonus

401(k) match

Medical, dental, vision

Job summary

Bloomberg in New York is seeking a Data Product Owner to lead data-driven improvements across AI-enabled products. You will align product, engineering, and operations around a shared vision to deliver scalable data capabilities and measurable business value.

The role emphasizes workflow optimization, data as a strategic asset, and collaboration with Data, Product, and Engineering teams to turn complex challenges into reliable, high-quality outcomes.

Qualifications

• Bachelor’s degree or equivalent in Finance, Business, Economics, Accounting, STEM.
• At least four years in data management including data quality, modeling, and sampling.
• Experience with Tableau or Qlik Sense for communicating results.
• Experience with Python, R, or SQL for data profiling/analysis.
• Experience analyzing financial datasets or financial market concepts.
• Strong problem-solving to handle annotation and data-architecture challenges.
• Interest in generative AI frameworks and Agentic AI requirements.
• Excellent stakeholder management and project leadership.

Responsibilities

• Own and evolve scalable data frameworks and evaluation strategies for AI-related tasks.
• Align data frameworks with product objectives to ensure trustworthy intelligence.
• Act as a primary liaison across Product, Engineering, and Data teams.
• Define requirements and reusable evaluation rubrics for data products.
• Drive automated evaluation infrastructure to accelerate multi-functional delivery.

Skills

Data management

Data quality

Data modeling

Random sampling

Generative AI

Stakeholder management

Project leadership

Problem solving

Education

Bachelor’s degree or equivalent in Finance, Business, Economics, Accounting, STEM

Tools

Tableau

Qlik Sense

Python

R

SQL

JavaScript

HTML

Job description

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

Location
New York
Business Area
Data
Ref #
10052509

Our Team

Data AI contributes to the building of Bloomberg’s AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. We provide evaluation and annotation frameworks connecting natural language processing and human judgment in order to elevate the quality, intelligence, and usability of the data that drives our products.

By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. Our internal processes to take advantage of new AI technologies and strengthen Data’s role in providing robust domain expertise and influential data artifacts to Bloomberg’s products. As a result our clients will continue to have high quality data and access to new types of datasets.

What’s The Role

The Data Product Owner serves as the strategic leader responsible for transforming business operations through data and AI. By aligning product, engineering, and operational partners around a shared vision, they define and deliver the data capabilities that enable intelligent automation, operational scale, and continuous improvement.

This role goes beyond managing requirements to shape how the organization uses data as a strategic asset. Through workflow optimization, process simplification, and the thoughtful application of AI, the Data Product Owner drives solutions that increase efficiency, improve quality, and create sustainable business value.

Success in this role is measured by the organization's ability to operationalize data and AI at scale, turning complex business challenges into streamlined, reliable, and measurable outcomes.

We’ll Trust You To

• Own and evolve scalable frameworks and sophisticated strategies for instruction and evaluation task design, ensuring datasets remain fit-for-purpose for complex Generative AI behaviors.
• Align data frameworks and evaluation strategies with overarching product objectives to guarantee trustworthy, consumable intelligence that supports actionable user decisions.
• Act as the primary multi-functional liaison, driving alignment between Product, Engineering, and Data teams to translate technical complexities into actionable insights.
• Partner with multi-functional teams to define product-aligned requirements and reusable evaluation rubrics, ensuring outcomes meet rigorous Data Quality standards.
• Drive the strategic evolution of our evaluation infrastructure by pioneering reusable, automated frameworks that consistently accelerate multi-functional product delivery.

You’ll Need To Have

• Bachelor’s degree or equivalent experience in Finance, Business, Economics, Accounting, STEM or degree-equivalent qualifications
• A minimum of four years of demonstrated experience in data management concepts, including data quality, modeling, and random sampling
• Extensive experience using data visualization tools such as Tableau or Qlik Sense to communicate sophisticated results to partners in a clear, concise manner
• Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
• Past project/experience analyzing financial datasets or demonstrable experience working on financial market concepts
• A logical approach to problem-solving with the ability to resolve complex annotation and data-architectural challenges
• Keen interest in and familiarity with generative AI frameworks and the requirements of Agentic AI
• Excellent stakeholder management and project leadership skills, with a demonstrable ability to evaluate design trade-offs and seamlessly translate technical complexities between Engineering, Product, and Data teams.
• Experience in data management concepts such as data quality, data modeling, and data engineering

We’d Love To See

• DAMA CDMP or DCAM certifications
• Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products
• Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection
• Past project experience using Agile/Scrum methodologies to manage complex data lifecycles
• Experience customizing or developing annotation interfaces using Javascript or HTML.

Salary Range = 110,000 - 190,000 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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