Manager, Data Product Management - Japan

The Coca-Cola Company is evolving into a more digital-first, data-driven enterprise to fuel sustainable growth, increase speed to market, and unlock new sources of value. Rapid advances in technology, data, and AI create a unique opportunity to accelerate The Coca-Cola Company (TCCC) system's next chapter of growth by reimagining our core competitive advantages. Building on a strong foundation of modernized infrastructure, global digital experiences, early data capabilities, and proven use cases, we are now shifting from early wins to scaled, end-to-end impact on growth, productivity, and efficiency. This next phase moves us from an analog world to a fully digitized one, powered by a digital growth engine that embeds data, technology, and AI into our most critical business domains. Success will require more than technology implementation - it demands a strategic transformation of core capabilities, a domain-based, product-centric operating model, and a cultural shift toward experimentation, data and technology fluency, and seamless partnership between business and digital teams. @@HD@@ Job Description Summary@@/HD@@ The Manager, Data Product Management supports the Japan & South Korea Operating Unit (OU) data product portfolio and backlog, driving adoption, usage, and change management for data and analytics products across the Operating Unit. The role delivers cross-domain analytics initiatives, supports scalable decision science solutions, and champions data-driven decision-making with OU and system partners - ensuring data products are delivered, adopted, and continuously improved. @@HD@@ Responsibilities include@@/HD@@ • Manage assigned data products and backlog items from definition through delivery and adoption. • Drive adoption, usage, and change management activities, including training, communication, and user support. • Support delivery of cross-domain analytics initiatives in partnership with engineering and data science. • Gather business requirements and user feedback to shape product improvements. • Track product usage, value metrics, and adoption results, reporting progress to leadership. • Champion data-driven decision-making with business users and system partners. • Coordinate day-to-day delivery activities across technical and business stakeholders.