Technical Solutions Lead - External Data & Analytics Catalog

Technical Product Owner For Data And Analytics CatalogCME Group, the world's leading derivatives marketplace, is seeking a hands-on technical product owner for its Data and Analytics Catalog. This strategic platform is designed to expedite user onboarding across real-time, historical, and delayed market data and analytics. In this high-impact individual contributor role, you will bridge the gap between our external catalog, user data licensing, and technical connectivity. Own and advocate a clear vision of the North Star technical outcome you are driving towards.You will drive the scope, prioritization, and delivery of the catalog's roadmap. As the hands-on technical lead driving execution, you will collaborate closely with customers, product, engineering, sales, vendors, and internal stakeholders to build features that streamline data delivery. Key responsibilities include translating direct client feedback into refined technical requirements, resolving complex integration hurdles, and managing vendor relationships to ensure our data ecosystem is secure, robust, and seamlessly accessible for our global clients.Key ResponsibilitiesYour focus will be driving an improved time to market for our customers through building an improved data discovery experience, streamlined purchasing & onboarding workflows, and refined developer experience. This role provides an impactful opportunity to grow CME Group's Data Services revenue targeting self-service workflows for institutional and retail customers.Product Strategy: Define and execute the 0-12 month roadmap for market data distribution platforms, focusing on consumer onboarding, marketplace enhancements, cloud-hosted data delivery, and telemetry tracking. See through product delivery from ideation to demos, performance KPIs, and operational metrics.Marketplace Management: Direct day-to-day performance and roadmap execution for the external CME Group data marketplace, ensuring operational SLAs, integration quality, and feature alignment. Write product requirements and stories for engineering teams.Metadata Catalog Strategy: Build and maintain an internal metadata catalog and schema registries to serve as the unified engine powering product discovery and interoperability across both vendor-managed and CME-native marketplaces.Developer / User Experience: Deliver a strong front-end onboarding experience while leading engineering teams and vendors to define API specifications, data payload formats, and distribution protocols. Engage customers to capture feedback for product development and extract insights from telemetry data to identify areas for feature improvement and validation.Monetization: Collaborate with Licensing and Sales to structure data access models, distribution pricing, and vendor licensing workflows across real-time, delayed, and historical data feeds to increase Data Services revenue. Ensure this works seamlessly with billing systems.QualificationsRequired:Data obsessed: Able to identify and solve for complex user problemsExpertise with database schemas, metadata/catalog frameworks, data product schemas, APIs, CI/CD pipelines, and schema designTrack record managing complex technical dependencies with external platform vendors and cross-functional engineering teams.Attention to detail and analytical skills. You should excel at working with data, know the ins-and-outs of your product, be able to pull metrics using SQL, and effectively distill insights from them.Strong communication skills. You should be able to explain complex technical details in a simple way. Can effectively work across multiple teams while effectively managing internal and external stakeholders.Bachelor's degree in Computer Science, Engineering, Business Administration, Economics, or related fields and 5+ years of experience in product management or related experience with digital marketplaces, SaaS, data engineering, or enterprise products data pipelines, data governancePreferred :Cloud experience: Google Cloud Platform (BigQuery, GCS, Apigee), AWS, Azure, Snowflake, DatabricksLanguages: SQL and PythonTechnologies: APIs, data warehouses, OLTPWorking knowledge of Agile, Lean or similar software development methodologies