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 enterprise data platform environments (Snowflake, Databricks, BigQuery, AWS, Azure, etc.). Agile/SAFe Fluency: Strong understanding of Agile methodologies. Experience operating within a SAFe environment is highly preferred (SAFe POPM or CSPO certifications are a strong plus).

Data Literacy: Proficient in querying data (e.g., SQL basics) to validate assumptions, investigate issues, and drive data-informed decisions. Domain Knowledge: Deep understanding of the complete trade lifecycle and financial derivatives (futures, options), including market liquidity, order book mechanics, post-trade processing, clearing workflows, and risk management inputs.

Preferred Experience Exchange Data Expertise: Hands-on knowledge and familiarity with CME Group's Exchange Data sets (e.g., product reference, market/tick data, post-trade, order book, settlement data, and market data feeds). Data Infrastructure & Analytics: Hands-on experience or working familiarity with modern data lakehouse architectures (e.g., BigQuery, Snowflake) enterprise data warehousing concepts, and Business Intelligence (BI) visualization tools (e.g., Looker, Tableau, Power BI).

Technical Translation & Alignment: Exceptional ability to bridge the gap between technical engineering teams and business stakeholders, seamlessly translating complex data architecture into clear business value, and converting commercial goals into actionable technical requirements. Cross-Functional Collaboration: Direct experience working alongside business stakeholders, applied analytics, data science, or external data product delivery teams.

#JR-1 CME Group is committed to offering a competitive total rewards package for our employees that recognizes their contributions to the business and reflects our long-term investment in their future. The pay range for this role is -. Actual salary offered will be dependent on a wide array of factors including but not limited to: relevant experience, skills, education and comparison to internal employees (where relevant).

Our compensation program also includes an annual target bonus opportunity for all employees, as well as the opportunity to become an owner in the company through our broad-based equity program. Through our benefits program, we strive to offer flexibility, value and choice. From comprehensive health coverage, to a retirement package that includes both a 401(k) and an active pension plan, to highly competitive education reimbursement provisions, paid time off and a mental health benefit, CME Group offers a holistic benefits package for our team and their dependents.

CME Group: Where Futures are Made CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more.

At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic. Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here.

As the world’s leading derivatives marketplace, CME Group is where the world comes to manage risk. We enable clients to trade futures, options, cash and OTC markets, optimize portfolios, and analyze data – empowering market participants worldwide to efficiently manage risk and capture opportunities. CME Group exchanges offer the widest range of global benchmark products across all major asset classes based on interest rates, equity indexes foreign exchange energy agricultural products and metals.

We meet uncertainty and volatility with confidence and clarity, across the trading lifecycle and around the world. Hear more about our employee experience Get a look inside CME Group and see what makes us tick A rewarding career is only the beginning Best Place to Work Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process.

Additionally, CME Group does not communicate with job applicants over Telegram. Learn more here. For U.S. employment, CME Group is legally required to validate a new hire’s employment eligibility by having them complete an Employment Eligibility Verification (Form I-9) companied with legally acceptable proof of identity and work authorization (as listed on the Form I-9). CME Group uses E-Verify, which is an online system operated by the U.S.

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• Bachelor’s degree in Business, Computer Science, Data Science, Product Management, or related field.
• 3+ years as Product Owner, Technical Product Manager, or Data Manager in enterprise data platforms (Snowflake, Databricks, BigQuery, AWS, Azure).
• Proficient in SQL querying, Agile methodologies, and deep knowledge of trade lifecycle and financial derivatives.