Senior Data Management Professional - Data Product Owner - Data AI

Senior Data Management Professional – Data Product Owner – Data AI

Location
London

Business Area
Data

Ref #
10044399

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 innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes – all while providing customer support to our clients.

Our Team:
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.

The Role:
As a Data Product Owner, you will be responsible for providing subject matter expertise in fixed income data and 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 the fixed income annotated datasets – ensuring it meets 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 conversational systems focusing on the fixed income domain, 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 credit analysts workflows.
• 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:
*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.

• 4+ years of recent work experience in the financial services industry, focusing on Fixed Income
• Strong understanding of credit analyst workflows and data needs
• Demonstrated experience in data management concepts, for example in improving data accuracy, completeness or timeliness
• A proven track record of successful project management skills and ability to prioritize tasks accordingly
• Proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product
• Customer-focused approach and the ability to interact with a diverse range of clients
• Proven ability to take a logical approach and apply critical thinking skills in order to tackle problems

We'd Love to See:

• Knowledge of Python and SQL
• DAMA CDMP or DCAM certifications
• Keen interest and familiarity with generative AI frameworks
• Experience in semantic structures or data modeling
• Experience using data visualization tools such as Tableau, QlikSense, or Splunk