Senior Data Product Owner

Salary: £55,000 - 95,000 per year

Requirements:

• 4+ years of demonstrated expertise in data management, including data quality, governance, metadata management, data modelling and lifecycle management.
• Deep knowledge of environmental regulatory reporting frameworks including SFDR, CSRD, EU Taxonomy, PAB, CTB and related disclosure requirements.
• Proven experience designing, implementing and continuously improving fit-for-purpose quality management frameworks, measurable data quality controls and data product health indicators.
• Experience translating regulatory, technical and data quality concepts into clear requirements, documentation and stakeholder-ready recommendations.
• Experience defining data content and annotation standards to support both human and AI-assisted data collection.
• Experience defining data models, content standards or metadata structures that support scalable, reusable data products.
• Experience owning the end-to-end lifecycle of a data product, from requirements and design through delivery, measurement and continuous improvement.
• Strong technical proficiency, including Python, SQL and modern AI-assisted development tools, with the ability to partner effectively with Engineering on data architecture, modelling and implementation decisions.
• Experience applying generative AI and AI-assisted development tools to improve data management workflows, quality assurance, content management and operational efficiency.
• Excellent stakeholder management and communication skills with the ability to influence Product, Engineering, Enterprise Product and Sales.
• Excellent problem-solving and analytical thinking skills, with strong attention to detail.
• Strong knowledge and understanding of the Sustainable Finance market and sustainable finance data client needs is preferred.
• Experience working with a range of regulatory disclosure frameworks and standards, including but not limited to TCFD, ISSB, GRI is preferred.
• Experience implementing AI-enabled data collection or quality workflows is preferred.
• Experience using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products is preferred.
• Past project experience using Agile/Scrum methodologies to manage complex data lifecycles is preferred.
• DAMA, CDMP or DCAM certifications are preferred.

Responsibilities:

• Own the data management strategy, roadmap and operating model for a portfolio of environmental regulatory data products including EU Taxonomy, SFDR and CSRD.
• Continuously evolve the content model, quality standards and fit-for-purpose criteria for each product.
• Partner closely with Engineering and Product to evolve data models, metadata structures, workflow tooling and architecture that enable scalable, reusable and high quality data products.
• Design and continuously improve quality management frameworks, governance processes and operational controls that ensure trusted, auditable and scalable data products.
• Own measurable data product health metrics, including quality, coverage, timeliness, lineage and transparency.
• Translate evolving regulatory requirements into clear data requirements and product enhancements.
• Define data content and annotations that support both human and AI-assisted data collection.
• Find opportunities to modularize, automate, and orchestrate workflows, moving from one-off projects to a reusable operational layer.
• Apply strong product thinking and technical expertise to define and drive the strategic evolution of products and processes under our remit, ensuring robust quality metrics are created and used to iterate on workflows and performance.
• Build deep understanding of client workflows, market developments and regulatory change to recommend data-driven enhancements, prioritise investment and inform the evolution of our environmental regulatory data products.
• Own and continuously evolve an iterative roadmap using a data-driven approach to prioritization.

Technologies:

• AI
• Support
• Python
• SQL
• Product Owner

More:

We are Bloomberg, and our Sustainable Finance data is increasingly crucial for our clients, providing deeper intelligence than conventional financial analysis alone. Our Data team is responsible for reporting and improving Sustainable Finance-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Based in London within our Data business area, this role sits in our Sustainable Finance Regulatory Data team and offers the opportunity to work closely with Product, Engineering, Enterprise Product and Sales while helping clients integrate sustainable finance risk and opportunity analysis into their workflows. We also encourage candidates to learn more about our culture and values through our podcast series.

last updated 36 week of 2026