Senior Manager, Data Science and Agentic AI

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.

Role 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).
• Translate technical results into business stories and clear recommendations for senior stakeholders.
• Champion data & AI fluency - coach analysts, share reusable patterns, and promote experimentation and evidence-based decision-making.

Requirements & Qualifications

• Bachelor’s degree required in Data Science, Statistics, Computer Science, Engineering, Analytics or related field (Master’s a plus).
• 5+ years of experience in data science, machine learning or advanced analytics, including hands-on delivery of models into production.
• Practical experience building GenAI/agentic solutions - LLM applications, RAG, prompt/context engineering, tool calling and agent orchestration ( LangChain , Semantic Kernel, Azure AI Foundry or similar).
• Strong programming and ML foundations - Python (pandas, scikit-learn, and a modern deep-learning/LLM framework), SQL, and solid statistics/experimentation.
• Experience on cloud data & AI platforms - Azure preferred (Azure ML, Azure AI Foundry/OpenAI), plus Microsoft Fabric/Databricks; familiarity with MLOps and vector stores.
• Awareness of Responsible AI and governance - evaluation, guardrails, bias/drift monitoring, lineage and cost control; awareness of EU AI Act and NIST AI RMF as reference frameworks is a plus .
• Strong communication and business acumen - able to explain complex models and agents to technical and non-technical audiences and connect them to measurable outcomes.
• Collaboration in matrixed, global teams with the ability to manage multiple priorities in a fast-paced environment.
• Familiarity with the Beverage/System landscape (RGM, Commercial, Revenue) is a plus.

What We Can Do for You

• Purpose with impact. Our purpose is “TO REFRESH THE WORLD . MAKE A DIFFERENCE.” Your models and agents will directly shape how LATAM grows and decides.
• Build at the frontier. Work on live agentic AI (NSR Agent, BI Assistant, RGM assistants) on a modern Azure/Fabric/Foundry stack, in one of the richest data ecosystems in the System.
• Scale and network. Collaborate across a globally networked organization, with exposure to Global DTS, Europe and leading bottlers.
• Growth. Grow as a data science and agentic -AI leader as we scale from early wins to enterprise-wide impact.

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.

00% - 25%

Mexico

Mexico

No

October 7, 2026