Director, Data and Analytics, Governance and Innovation

As part of the LATAM Data & Analytics team, you will lead the data governance and innovation agenda that makes our data trusted, connected and AI-ready - the foundation the business needs to run on connected intelligence rather than isolated reports. You will define and operate the standards, roles and controls that keep data reliable across our Consumer, Customer and Enterprise domains, and you will bring in new practices, tools and AI capabilities that raise the quality and value of what we deliver.

This is a hands‑on leadership role with two connected mandates. On governance, you own data quality, master and metadata management, lineage, classification, privacy and Responsible‑AI controls, so trusted data and safe AI agents are possible at scale. On innovation, you pilot and scale new capabilities - governed self‑serve, AI‑Ready datasets, agentic use cases - and help embed them into everyday ways of working. You are the enterprise‑data voice in the AI LATAM Office and a guardian of 'one governance' across Data & AI initiatives.

You will contribute to the broader data strategy and LRP 2030 vision, but your primary accountability is making that vision trustworthy and executable through strong governance and practical innovation - not owning the end‑to‑end strategy or investment roadmap, which sits with the D&A leadership team.

What You’ll Do for Us

Data Governance & Trust (core)

• Operate the 'one governance' model day to day - a shared Business + GDN framework with clear RACI, stewardship, decision rights and regular backlog/priority reviews across Data & AI LATAM initiatives. Own enterprise data standards for data quality, master/reference data alignment, business glossary, data contracts with bottlers, classification and access - certified once and reused across products and experiences. Manage metadata, catalog and end-to-end lineage (Purview 2.0), so governed data is easy to find, trusted and traceable from source to decision - the prerequisite for reliable AI agents. Run data‑quality operations - anomaly detection, DQ indexes, issue triage and remediation with data stewards and DataOps, keeping our critical datasets healthy. Safeguard privacy, security and compliance (LGPD/GDPR and local regulation, RBAC/ABAC, sensitivity classification), embedding controls into platforms and aligning with enterprise cyber and emerging AI‑regulation standards.

Innovation & AI Enablement

• Champion AI‑ready foundations - apply and evolve the AI‑Ready Dataset guidelines, and support initiative certification and T1/T2/T3 scoring (scalability, operability, maintainability) in the AI LATAM Office. Embed Responsible AI in practice - fairness, bias and model/agent‑drift checks, plus lineage and auditability for AI use cases, so agents inherit the governance of the data they read. Pilot and scale new capabilities on the target stack (Microsoft Fabric/OneLake, MDM, Purview 2.0, agentic/Foundry) - turning proofs of concept into governed, reusable patterns. Enable governed self‑serve (BYOD / self‑serve reporting), so power users and business SPOCs generate insights without adding fragmentation or losing quality.

Adoption, Advisory & Team

• Act as trusted advisor and enterprise‑data SME across workstreams - helping Strategy, Franchise, Commercial and Marketing understand what data we have, how it is governed, and how to use it well. Drive adoption and data literacy through the Data Community of Practice, AI upskilling and clear documentation, standards and playbooks. Lead and grow a multidisciplinary team (data governance, data stewards, and product/engineering partners), building capability and a healthy, engaged culture across seniority levels. Partner across the ecosystem - Global DTS, Europe (MDM alignment), bottlers (KOF, Arca, Andina) and vendors - to keep data‑sharing standards consistent and scalable.

Qualifications & Requirements

Experience & Education

• 7+ years of experience in data governance, data management, analytics or related roles, including 2+ years leading people or workstreams. Bachelor's in Systems/Industrial Engineering, Business, Economics, Statistics or related field. Practical experience running strategic and hands‑on data governance - data quality, master/metadata management, stewardship and standards - ideally in a multi‑country or multi‑partner environment. Familiarity with the Beverage/System landscape (RGM, Commercial, Execution, Revenue) is a plus, with the ability to connect governance to business value.

Data Governance & AI (core)

• Data governance fundamentals - data quality, MDM, metadata/business glossary, data contracts, classification and stewardship models (DAMA-DMBOK / CDMP a plus). AI & Responsible‑AI awareness - governing data across the AI lifecycle: lineage/provenance, auditability, bias/fairness and model/agent drift; awareness of EU AI Act and NIST AI RMF as reference frameworks is a plus. Governance tooling - working knowledge of Microsoft Purview (catalog, lineage, classification) and Microsoft Fabric/OneLake, and how governance applies to an agentic/AI platform (e.g., Azure AI Foundry). Privacy, security & compliance - RBAC/ABAC, sensitivity classification, masking/tokenization, and working knowledge of LGPD/GDPR and local data regulation.

Technical & Analytical

• Solid technical foundation - data modeling, SQL, ETL/ELT, medallion (Bronze/Silver/Gold) patterns, cloud data platforms (Azure/Fabric/Databricks), and applied AI/ML and GenAI/agentic concepts. Data storytelling & visualization - able to translate data quality and governance into clear, decision-useful narratives (Power BI, Tableau or equivalent). Delivery discipline - Agile/Scrum, release/UAT governance, SLAs and incident management.

Ways of Working

• Collaboration & influence - comfortable aligning stakeholders and negotiating shared standards with teams, bottlers and vendors. People leadership - developing and supporting a diverse team across seniority levels. A bias for value and adoption - pragmatic and outcome‑oriented, balancing enterprise consistency with domain autonomy ('federated, not fragmented').

What We Can Do for You

• Purpose with impact. Our purpose is 'TO REFRESH THE WORLD. MAKE A DIFFERENCE.' This role directly shapes how LATAM makes trusted, responsible use of data and AI. A foundational mandate. You will lead the governance and innovation backbone behind LATAM's data vision - one of the richest and most advanced data ecosystems in the System. Scale and network. Work across a globally networked organization, with exposure to Global DTS, Europe, and leading bottlers. Growth. Build foundations for connected data, trusted insights and responsible AI - and grow as a data governance and innovation leader.

Agile Methodology, Business Process Modeling, Change Management, Cloud Platform, Communication, Data Flow Diagram, DevOps, Digital Transformation, Enterprise Architecture Framework, Human Insights, Influencing, Microsoft Azure Databricks, Microsoft Office, User Experience (UX)

Location(s):Mexico

City/Cities:Mexico

Travel Required:00% - 25%

Relocation Provided:No

Job Posting End Date:August 29, 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.

Annual Incentive Reference Value Percentage:30Annual 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.