Key Responsibilities
Data Governance & Data Trust
Design and deliver end-to-end Data Governance models for critical data domains, products and business capabilities across LATAM.
Establish the governance mechanisms required to strengthen Data Trust, including ownership, stewardship, standards, controls, Data Quality, metadata and accountability.
Develop scalable Data Governance frameworks, methodologies, standards and playbooks that can be consistently applied across different domains and markets.
Define what “trusted data” means for different use cases and establish the governance requirements necessary to achieve and sustain it.
Identify governance gaps and root causes behind recurring data issues and design sustainable solutions rather than isolated fixes.
Data Management Frameworks
Apply Data Management principles across Data Quality, Master & Reference Data, Metadata, Business Glossary, Data Lineage, Data Classification and Data Ownership.
Leverage DAMA-DMBOK principles and practices to bring structure and consistency to governance capabilities.
Translate governance principles into practical operating models, decision rights, roles, processes and controls.
Develop reusable governance assets that can scale across LATAM instead of creating isolated solutions for individual projects.
Technical & Data Understanding
Understand the end-to-end lifecycle of data, from source systems through ingestion, transformation, storage and consumption.
Work closely with Data Engineering, Architecture, Product and business teams to understand data flows, integrations, dependencies and platforms.
Translate technical complexity into clear governance requirements and identify where governance controls should be embedded across the data lifecycle.
Navigate modern data environments and technologies such as Microsoft Fabric, OneLake, Microsoft Purview, Azure, etc.
AI, Machine Learning & Agentic Governance
Design and deliver governance frameworks for AI and agentic use cases in partnership with the relevant enterprise teams, distinguishing data readiness and Data Trust requirements from controls governing models, agents and their actions.
Define practical lifecycle governance requirements, including use-case intake, risk assessment, accountable ownership, fit-for-purpose evaluation, approval criteria, monitoring and retirement.
Establish Machine Learning Governance requirements across the model lifecycle, including training data documentation, model inventory and versioning, validation and approval, performance and drift monitoring, and criteria for retraining and retirement, with clear ownership and traceability.
Establish governance requirements for agentic solutions, including boundaries of autonomy, access to data and tools, human oversight, escalation paths and traceability of decisions and actions.
Translate enterprise Responsible AI principles into operational standards, controls and playbooks for LATAM, with clear responsibilities across Data Governance, AI, Technology, Security, Privacy and Legal teams.
Initiative Leadership
Take ownership of complex Data Governance initiatives and drive them from ambiguity to a structured and sustainable governance solution.
Structure initiatives into clear objectives, deliverables, milestones, dependencies, decisions and ownership.
Proactively identify risks, gaps and unresolved questions and find the people, information or alternatives required to move forward.
Manage multiple governance initiatives while maintaining strong organization, documentation and stakeholder alignment.
Bring a resourceful and solution-oriented mindset, particularly when processes, ownership or information are not yet clearly defined.
Requirements
Bachelor’s degree in Data, Technology, Business, Engineering, or a related field, or equivalent professional experience.
5+ years of relevant experience in Data Governance, Data Management, Data & Analytics, or related disciplines, with demonstrated experience designing and implementing Data Governance frameworks.
Strong experience in Data Governance and Data Management, preferably with experience designing governance models rather than only participating in established ones.
Demonstrated ability to build frameworks from the ground up and translate governance concepts into practical organizational solutions.
Strong understanding of Data Trust and the disciplines required to create it.
Knowledge of DAMA-DMBOK; CDMP certification would be a plus.
Strong understanding of Data Quality, Metadata, Lineage, Master Data, Ownership and Stewardship.
Ability to understand source systems, data architecture, integrations and data platforms and communicate effectively with technical teams.
Working knowledge of AI Governance, Machine Learning Governance and Responsible AI, with an understanding of machine learning models, generative AI and agentic systems, their distinct risks and the lifecycle controls needed to support accountable adoption. Experience developing governance frameworks or controls for these use cases would be a strong advantage.
Highly proactive and resourceful, able to make progress even when the path, stakeholders or information are not immediately clear.
Excellent organization and project management skills, with the ability to bring structure to complex and parallel initiatives.
Strong critical thinking and problem-solving capabilities.
Ability to influence and align business and technical stakeholders across different markets and functions.
Comfortable operating in environments where governance maturity varies and where the solution needs to be built, not simply followed.
We are looking for someone who can take a complex data challenge, understand its business and technical context, and turn it into a scalable Data Governance model that creates measurable Data Trust.
Skills
Communication, Data Analytics, Data Driven, Data Governance, Data Quality, Data Readiness, Governance Framework, Governance Models, Group Problem Solving, Influencing, Microsoft Office, Microsoft Power Business Intelligence (PBI)
Location(s)
Mexico
City/Cities
Mexico
Travel Required
00% - 25%
Relocation Provided
No
Job Posting End Date
November 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.
