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 organization delivers this data through innovative technology and applies problem-solving skills to improve workflows, systems, products, and processes.

Role Description

Data AI 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 driving 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 data capabilities that enable intelligent automation, operational scale, and continuous improvement.

The role focuses on using data as a strategic asset through workflow optimization, process simplification, and the thoughtful application of AI. Success is measured by the ability to operationalize data and AI at scale and turn complex business challenges into streamlined, reliable, and measurable outcomes.

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 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 developing reusable, automated frameworks that accelerate multifunctional product delivery.
• Lead workflow optimization, process simplification, and the application of AI to improve efficiency, quality, and business value.

Requirements

• Bachelor’s degree or equivalent experience in Finance, Business, Economics, Accounting, STEM, or an equivalent qualification.
• 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.
• Logical problem-solving skills 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, Bloomberg Terminal, or enterprise financial data products.
• Interest in developing data-driven methodologies for high-precision and high-recall anomaly detection.
• Experience managing complex data lifecycles using Agile or Scrum methodologies.
• 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 and vision coverage, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.

Compensation

The salary range is USD 110,000–190,000 annually, plus benefits and bonus. Actual compensation may vary based on geographic location, work experience, market conditions, education, training, and skill level.