Senior Data Management Professional - Data Product Owner - News in London

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.

The Bloomberg Data AI group brings innovative AI technologies into Bloomberg’s Data organization while supplying deep financial domain expertise to the development of AI-powered products. Our team provides evaluation and annotation frameworks. We partner closely with team members to align AI innovation with Bloomberg’s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain‑informed systems that improve the capabilities and competitiveness of Bloomberg’s offerings.

As a Data Product Owner, you will be responsible for providing subject matter expertise in financial news annotation program management, to contribute to the development of generative AI systems. You will play a crucial role, in collaboration with product and engineering teams to implement strategies to gather and scale evaluations and annotations to drive continuous improvements for these systems. You will be accountable for the overall value delivery of these datasets ensuring the systems they enable meet the current and emerging needs of Bloomberg clients, aligns with internal product goals, and adheres to high standards of quality, transparency, and usability.

We’ll Trust You To:

• Define the evaluation strategy for one-hit and conversational systems focusing on news and social media content across multiple domains, ensuring alignment with market-specific nuances, end-users expectations and Bloomberg domain-specific strategy.
• Own the end-to-end vision and roadmap for collecting evaluation datasets fit for the purpose of a variety of news-related implementations.
• Drive discovery and prioritization efforts to improve data robustness, annotation accuracy, and overall quality across datasets used for model evaluation and enhancements.
• Leverage data analytics and insights to uncover trends, identify gaps, and inform annotation methodologies that enhance model performance and user trust.
• Tackle complex annotation challenges with thoughtful solutions while enforcing strong data governance and integrity standards.
• Stay up-to-date with industry trends and standard methodologies in generative AI, evaluation, data annotation and fixed income data management.
• Collaborate cross-functionally with Product, Engineering, Data and other domain experts to steer a results-driven and scalable evaluation data strategy.

You’ll Need To Have:

• At least 4 years of recent work experience in the financial services or financial news industries.
• Proven track record leading cross-functional data or AI-driven products from concept to implementation.
• Familiarity with AI/ML/NLP principles and data annotation workflows (experience with supervised learning or large language models is a plus).
• Excellent stakeholder management skills – ability to communicate technical complexity in business terms and align multiple teams around common goals.
• Experience using Agile methodologies, with comfort managing backlogs, sprints and product roadmaps.
• Strong analytical mindset with a focus on data quality, scalability and measurable business outcomes.
• Experience and interest and familiarity with generative AI frameworks.

Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

We’d Love To See:

• Knowledge of Python and SQL.
• Proficiency in German or French.
• Experience developing or managing annotation programs.
• Experience in semantic structures or data modeling.
• Experience using data visualization tools such as Tableau, QlikSense, or Splunk.

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