Manager, Product Owner – Data Curation

The Manager, Product Owner for Data Curation serves as the primary liaison between technical data engineering teams (PODs) and strategic business stakeholders—including internal data analytics, reporting, and the CME Data Commercialization division. Responsible for maximizing value delivery within the Unified Data Platform (UDAP) data lakehouse, this role defines, maintains, and prioritizes the product backlog (user stories, enablers, and technical debt). By leveraging familiarity with CME Group’s exchange datasets, establishing a clear product vision, defining acceptance criteria, and enforcing data governance standards, the Product Owner ensures the delivery of fit-for-purpose, high-quality curated data assets aligned with client demand and strategic goals.  Key Responsibilities Strategic Product Ownership & Roadmap Planning Define & Execute Vision: Translate the overall data curation strategy into a cohesive, prioritized product backlog that accelerates business value across analytics, reporting, and external commercial solutions. Stakeholder Alignment: Collaborate directly with key enterprise stakeholders to obtain requirements, and prioritize features balancing between real-time client demand and enterprise objectives Data Prototyping & Product Conceptualization: Advanced proficiency in querying datasets (e.g., BigQuery SQL) to perform hands-on exploration and prototyping against datasets. Build small-scale data proofs-of-concept (POCs) to conceptualize data products, validate business assumptions, and communicate requirements clearly to engineering teams and technical leads.  Adoption & Domain Ownership: Drive enterprise-wide adoption of the data lakehouse, fostering a culture of responsible data domain ownership and consistent platform utilization. Agile Ceremonies: Lead core Agile ceremonies for your Pod, including Sprint Planning, Backlog Refinement, Sprint Reviews, and Retrospectives. PI Planning: Participate actively in Program Increment (PI) Planning, drafting team PI objectives and identifying cross-pod dependencies within the Agile Release Train. Enterprise Data Curation & Governance Standards Advisory Partner: Serve as a strategic advisory partner across business units to uphold data lakehouse platform standards and improve enterprise-grade data management practices. Quality & Metadata Excellence: Ensure curated data assets meet consumer-desired quality, usability, and experience standards by enforcing robust metadata management Process Automation: Spearhead the implementation of scalable, reusable, and automated data validation processes to continuously verify curated data assets against trusted source systems. Required Qualifications & Skills Education & Core Experience Education: Bachelor’s degree required (Business, Computer Science, Data Science, Product Management, or related field). Experience: 3+ years of experience as a Product Owner, Technical Product Manager, or Data Manager within modern…