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 data and AI create a unique opportunity to accelerate the KO system’s next chapter of growth. In LATAM, this ambition takes shape through our data vision for the 2030 Long-Range Plan: connecting our data assets across Consumer, Customer and Enterprise into one trusted, AI-ready intelligence ecosystem, and running the business on connected intelligence rather than isolated reports.
This next phase moves us from early wins to scaled, end-to-end impact — powered by a growth engine that embeds data science and agentic AI into our most critical business domains. Success demands more than technology: it requires a product-centric operating model and a culture of experimentation, data fluency, and seamless partnership between business and digital teams.
The Coca-Cola Company is seeking a Senior Manager, Data Science and Agentic AI to design, build and scale the models and AI agents that turn LATAM’s data into decisions. Sitting within the LATAM Data & Analytics team, you will take priority use cases from experimentation to production — combining classic data science (predictive/prescriptive modeling) with modern agentic AI (LLM-powered assistants and multi-step agents) on top of our governed data foundations.
You will build and operationalize AI agents such as data assistants, grounding them in trusted data and business logic so they reason reliably and safely. Working on the target stack (Microsoft Fabric/OneLake, Azure AI Foundry, Azure ML, and our in-house AI platform), you will partner with data engineering, product and governance teams to ensure every model and agent is AI-ready, monitored and cost-controlled.
This is a hands-on senior individual-contributor: deep enough to build, and senior enough to shape how we design, evaluate and scale agentic solutions across the OU.
Build predictive and prescriptive models (forecasting, elasticity, segmentation, next-best-action) that support revenue growth, commercial execution and enterprise decisions.
Take use cases from PoC to production with sound experimentation design, feature engineering, validation, and clear measurement of business impact.
Apply modern GenAI patterns — RAG, prompt and context engineering, tool/function calling, orchestration and multi-agent design, with semantic/ontology grounding so agents reason over meaning, not raw tables.
Embed Responsible AI and governance — align with the AI-Ready Dataset guidelines and T1/T2/T3 scoring from the AI LATAM Office, ensuring lineage, auditability and safe, compliant use.
Collaboration, MLOps & Adoption
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.
