AI & Data Governance Leader: Build Safe, Scalable AI

Volkswagen Group; Puebla de Zaragoza; Hybrid; MXN 900,000 - 1,300,000; Full time

Job summary

Audi México in San José Chiapa, MX, is seeking a governance lead to establish and operate an integrated AI and Data Governance framework across the lifecycle of data products, models, and AI solutions. You will drive risk-based control mechanisms and ensure alignment with regulatory and internal requirements.

The role collaborates with IT, Data Science, Information Security, Legal, and Procurement to scale responsible AI use while maintaining compliance and enabling innovation.

Qualifications

• University degree in Computer Science, Data Science, Business Informatics, or a comparable field.
• Advanced English Level.
• Professional experience in AI/ML, Data Governance, Technology Risk, Compliance, Data Privacy, Information Security, Audit, or Enterprise Architecture.
• Strong understanding of AI/ML lifecycle from data ingestion to deployment, monitoring, and decommissioning.
• Practical experience in data quality, metadata management, data catalogs, data lineage, data classification, access control, and data lifecycle management.
• Knowledge of EU AI Act, GDPR, and interfaces with product safety, cybersecurity, copyright, and supplier management.
• Knowledge of ISO/IEC 42001, ISO/IEC 23894, ISO/IEC 27001, NIST AI RMF, and DAMA-DMBOK data-management practices.
• Experience with assessments, control frameworks, policies, process design, audit evidence, and remediation management.

Responsibilities

• Develop, maintain, and operationalize the Group-wide AI & Data Governance framework, including policies, standards, roles, decision-making bodies, and control mechanisms.
• Operate a central inventory for AI systems, models, and relevant data products with documented purpose, owners, data sources, risk classification, lifecycle status, and evidence.
• Conduct and facilitate intake, classification, and risk-assessment processes for new or materially changed AI use cases.
• Assess data provenance, data quality, representativeness, data approvals, usage rights, consent, retention, deletion, and lineage for training, validation, testing, RAG, and inference.
• Define and review required artifacts such as Model Cards, Data Cards, AI Impact Assessments, Data Protection Impact Assessments, technical documentation, human-oversight concepts, test evidence, and approval decisions.
• Integrate AI Governance into existing processes for Data Governance, Data Privacy, Information Security, Architecture, Procurement, Legal Compliance, supplier management, and the internal control system.
• Advise Product Owners, Data Owners, Data Stewards, architects, Data Scientists, and engineering teams on implementing Responsible AI and Data Governance requirements.
• Assess external models, data sources, cloud/SaaS services, and AI suppliers, including contractual, data, security, transparency, and exit requirements.
• Plan and support control testing, internal audits, management reviews, and remediation tracking for findings and exceptions.
• Develop role-based qualification and communication formats for AI literacy, governance processes, and responsible data use.
• Prepare decision papers and management reporting on portfolio, risks, exceptions, actions, maturity, and governance effectiveness.
• Monitor relevant regulatory, standards-related, and technological developments and translate them into concrete change requirements.

Skills

Problem Solving

Customer Service

Technical Support

Communication Skills

Troubleshooting

Conflict Management

OS Configuration

Programming Languages

Data Backup

Analytical Thinking

Cybersecurity

Scripting

Innovative Thinking

Network Configuration

Education

Bachelor's degree in Computer Science / Data Science / Business Informatics

Job description

Audi México in San José Chiapa, MX, is seeking a governance lead to establish and operate an integrated AI and Data Governance framework across the lifecycle of data products, models, and AI solutions. You will drive risk-based control mechanisms and ensure alignment with regulatory and internal requirements.

The role collaborates with IT, Data Science, Information Security, Legal, and Procurement to scale responsible AI use while maintaining compliance and enabling innovation.