The Data Product Manager – Merchandising & Operations owns the development and delivery of high-impact data products that directly drive member value through what we sell and how we sell it. This role is the connective tissue between merchandising strategy, operations, and the data and AI capabilities that make them smarter. Sitting at the intersection of Product, Merchandising, Operations, Data Engineering, and Analytics, this role translates complex business problems into reusable, production-ready data products — spanning assortment intelligence, supplier performance, pricing signals, inventory optimization, and AI-powered forecasting. The ideal candidate brings deep hands-on experience in wholesale, grocery, or retail environments — with a genuine understanding of what drives member value in a club or warehouse retail model. They know Databricks, they know agile delivery, and they are a doer who ships. How This Role Works • Own the end-to-end prioritization and delivery of data products supporting merchandising planning, supplier analytics, inventory, and operational execution. • Partner with Merchandising, Operations, Finance, and Engineering teams to surface high-value data opportunities and convert them into scalable capabilities. • Define and drive the data product roadmap — bringing a member-value lens to every prioritization decision: what moves the needle on what we sell, how we price it, and how it lands on the floor. • Lead delivery in an agile model — writing clear requirements, managing sprints, unblocking engineering, and holding the team to outcomes over activity. • Balance speed with scalability — move fast to prove value, then harden successful capabilities into reusable, production-grade assets. Success here is measured by the impact of shipped data products: better decisions in the buy, sharper operations on the floor, and AI/ML capabilities that move from pilot to production.