Senior Manager, Data Science and Agentic AI

Summary: 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.

Overview   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.   What   You’ll   Do for Us   Data Science & Modeling   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.   Analyze large, complex datasets   to surface trends, drivers,   risks   and optimization opportunities.   Agentic AI (core)   Design and build AI agents and copilots   — LLM-powered assistants and multi-step/agentic workflows grounded in governed data and business logic.   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.   Operationalize agents on the target stack   — Azure AI Foundry + Microsoft Fabric (with Azure ML and the Nexus AI platform), including deployment,   versioning   and integration into business workflows.   Evaluate and harden agents for production   — build eval sets and guardrails;   monitor   accuracy, hallucination,   bias   and model/agent drift; track token cost against per-use-case budgets.   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   Partner cross- functionally   with Commercial, Marketing, Finance, Supply Chain and Strategy to frame problems and land solutions that change decisions.   Work with data engineering and governance   to strengthen data accessibility,   quality   and AI-readiness, and to apply   MLOps   practices (CI/CD, monitoring, reproducibility).