Senior Manager, Data Science and Agentic AI

Job Description 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.

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.

Skills:

Location(s):
Mexico

City/Cities:
Mexico

Travel Required:
00% - 25%

Relocation Provided:
No

Job Posting End Date:
October 7, 2026

Our Purpose and Growth Culture:

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.