Data Governance Lead LATAM

Job Description Summary:

As part of the LATAM Global Digital Network (GDN), this role will be responsible for designing, building and delivering Data Governance models and frameworks that strengthen Data Trust across LATAM.

The role requires a strong combination of Data Governance expertise, framework development, technical understanding and structured problem-solving. The ideal candidate will be able to take complex data challenges and turn them into sustainable governance models with clear ownership, standards, processes, controls and measurable outcomes.

A key part of the role will be understanding the data landscape behind each governance challenge, including source systems, data platforms, transformations, integrations and consumption layers, and connecting that technical context with business needs to determine the right governance approach.

The successful candidate will combine strong knowledge of Data Management practices, ideally grounded in DAMA-DMBOK, with curiosity, proactivity and resourcefulness. This person should be comfortable navigating ambiguity, structuring complex initiatives, bringing the right stakeholders together and independently driving governance solutions from initial problem definition through adoption.

Ultimately, the role will help ensure that critical LATAM data is understood, owned, governed and trusted, creating stronger foundations for analytics, digital products, AI and agentic solutions. Beyond AI-ready data, the role will help develop governance frameworks for AI, machine learning and agentic use cases, addressing their distinct lifecycle, accountability and oversight requirements in partnership with the relevant AI, Technology, Security, Privacy and Legal teams.

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.