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

Details

Bloomberg runs on data, combining information and context to deliver products, news, and analytics to clients worldwide. The Data team uses innovative technology to deliver data quickly and accurately while improving workflows, systems, products, and processes.

The Data AI team contributes to Bloomberg’s AI-enhanced products by curating model training data and improving internal processes through AI. The team provides evaluation and annotation frameworks that connect natural language processing with human judgment to improve the quality, intelligence, and usability of the data powering Bloomberg’s products.

The Data Product Owner is the strategic leader responsible for transforming business operations through data and AI. The role aligns product, engineering, and operational partners around a shared vision and defines and delivers data capabilities that enable intelligent automation, operational scale, and continuous improvement. The position focuses on workflow optimization, process simplification, and the thoughtful application of AI to increase efficiency, improve quality, and create sustainable business value.

Responsibilities

• 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 provide trustworthy, consumable intelligence that supports actionable user decisions.
• Act as the primary multifunctional liaison between Product, Engineering, and Data teams, translating technical complexities into actionable insights.
• Partner with multifunctional teams to define product-aligned requirements and reusable evaluation rubrics that meet rigorous data quality standards.
• Drive the strategic evolution of evaluation infrastructure by pioneering reusable, automated frameworks that accelerate multifunctional product delivery.
• Transform complex business challenges into streamlined, reliable, and measurable outcomes by operationalizing data and AI at scale.

Requirements

• Bachelor’s degree or equivalent experience in Finance, Business, Economics, Accounting, STEM, or equivalent qualifications.
• At least four years of demonstrated experience with data management concepts, including data quality, data modeling, and random sampling.
• Extensive experience using data visualization tools such as Tableau or Qlik Sense to communicate sophisticated results clearly and concisely.
• Demonstrable experience in data profiling and analysis using Python, R, or SQL.
• Experience analyzing financial datasets or working with financial market concepts.
• A logical approach to problem-solving and 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, including the ability to evaluate design trade-offs and translate technical complexities between Engineering, Product, and Data teams.
• Experience with data quality, data modeling, and data engineering.

Preferred Qualifications

• DAMA CDMP or DCAM certification.
• Experience using Bloomberg Data, the Bloomberg Terminal, and/or enterprise financial data products.
• Interest in developing data-driven methodologies for high-precision and high-recall anomaly detection.
• Experience using Agile/Scrum methodologies to manage complex data lifecycles.
• Experience customizing or developing annotation interfaces using JavaScript or HTML.

Benefits

Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs. Compensation may also include a bonus.