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.
The Senior Director, Data Analytics leads data strategy and delivery for the Japan & South Korea Operating Unit. The role owns the data and analytics portfolio and demand governance, builds AI, machine learning, and data science capability, drives advanced analytics and modeling, and partners across the Coca-Cola system to deliver measurable business value.
The role leads a team spanning data engineering, data science, data governance and operations, and data product management — delivering local data and analytics products (e.g., vending pricing models, local data pipelines) while rolling out and driving adoption of global data and analytics tools (e.g., Fuelight, OU360, MPM). As JKOU scales AI-enabled decision-making across its growth model, this role builds the data foundation and analytical capability that turn data into decision advantage.
Own the OU data and analytics strategy, roadmap, and portfolio, aligned with JKOU business priorities and the global data agenda.
Build and develop AI, ML, and data science capability within the OU, growing both talent and reusable analytical assets.
Drive advanced analytics and modeling that directly inform commercial, marketing, vending, and supply chain decisions.
Lead delivery of local data products (e.g., vending pricing model, local data pipeline) and adoption of global data tools (e.g., Fuelight, OU360, MPM).
Establish data governance, quality, privacy, and responsible AI standards across the OU, embedded in platforms and processes.
Communication & Influence
A senior data and analytics leader with proven experience building data organizations, delivering AI/ML capability at scale, and partnering with commercial leadership to convert analytics into business results. Combines technical depth with executive presence and system-level stakeholder skills.
Experience & Qualifications
12+ years of experience in data, analytics, or AI leadership roles within complex, matrixed organizations.
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
