Senior Data Management Professional - Data Product Owner - Carbon Markets
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Job description
As a Data Product Owner, you will use your market expertise and data management skills to bridge business priorities with Product and Engineering teams, while collaborating closely with other internal partners. You'll drive the development and scalability of our carbon datasets, ensuring they are accurate, timely, and actionable. In this role, you will play a central part in delivering fit-for-purpose carbon data that empowers corporate, financial, and policy partners to make informed decisions in the transition to a low-carbon economy. We'll trust you to:
- 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
Do you have experience in SQL?, Do you have a Master's degree?, * 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.
- 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., * 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.