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

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.

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

Location London

Business Area Data

Ref # 10052508

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.

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.

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

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