Senior Data Management Professional - Data Product Owner - Carbon Markets London, GBR Posted today

Overview

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.

Carbon-related data has become increasingly crucial for our clients, providing deeper insights into risks and opportunities for corporates and financial players on the global path to net-zero. Our team delivers high-quality, transparent data and analytics on carbon markets — including emissions, carbon credits, renewable energy credits, and related instruments — across the Bloomberg Terminal and Enterprise products. Our mission is to provide fit-for-purpose, trustworthy carbon data that improves market transparency and empowers clients to make informed decisions about carbon pricing, risk management, and sustainability strategy.

Responsibilities

• Develop, scale, and maintain robust data pipelines and workflows that support carbon data ingestion, transformation, and delivery across multiple registries and products.
• Design and implement processes that ensure data accuracy, completeness, and consistency—establishing a foundation for high-quality, fit-for-purpose carbon datasets.
• Drive programmatic updates to project universes, methodologies, sector taxonomies, and eligibility logic, ensuring standardization and alignment across diverse data sources.
• Collaborate across Product, Engineering, and Commercial teams to define requirements, prioritize features, and deliver strategic data solutions that advance product and client objectives.
• Establish data governance and reporting frameworks: define proactive quality strategies, automate validation checks, and monitor key performance indicators to uphold data integrity at scale.
• Generate actionable insights through statistical analysis and data visualization, communicating findings clearly to both technical and non-technical partners.
• Stay ahead of market developments in carbon trading, compliance schemes, and emerging standards (e.g., CORSIA, REDD+, and ratings frameworks) to inform product evolution and roadmap decisions.
• Lead project execution using agile methodologies and tools (JIRA, QlikSense, or equivalent) to ensure the work remains aligned, transparent, and on schedule.

Requirements

• Deep understanding of both compliance and voluntary carbon markets, including registry structures, trading mechanisms, and project methodologies.
• 4+ years' hands-on experience working with environmental markets data, with demonstrable expertise in data profiling and analytics, applying tools such as Python (Pandas), SQL, and Excel in production or development environments.
• Proven data management expertise, including data profiling, normalization, and data quality assurance—with experience developing proactive quality strategies, defining metrics, and reporting across teams.
• Strong analytical and problem-solving skills, with a proven ability to identify inefficiencies and design process improvements across data workflows.
• Exceptional communication and interpersonal skills, with the ability to translate sophisticated technical concepts for diverse audiences, influence partners, and lead multi-functional initiatives.
• Effective project management and prioritization skills, ensuring alignment between business requirements, technical delivery, and implementation timelines.

What we'd love to see

• Master's/PhD in a STEM subject of Economics, Finance, Data Science, Sustainability or Environmental Sustainability.
• Hands-on experience translating business requirements into scalable data solutions, with production-level programming expertise in Python, SQL, or comparable languages.
• Familiarity with the Bloomberg Terminal and/or Enterprise data products.
• Experience with semantic modeling and metadata management in large-scale data systems.
• Hands-on experience with agile tools (JIRA, Confluence) and BI dashboards (QlikSense, Power BI).
• Demonstrable ability to define and implement data quality metrics as a part of a bigger data architecture framework, understanding use cases, competitive offerings and client expectations.
• Understanding of ESG and sustainability data integration, particularly as it relates to carbon pricing, ESG scoring and climate-related financial disclosure.

If this sounds like you Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional

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