Data & AI Governance Lead

Lead the implementation of Data Governance and Responsible AI frameworks across Latin America, ensuring alignment with global standards, ethical principles, and regulatory requirements. Oversee AI model lifecycles, evaluate risks, and develop monitoring frameworks for responsible AI usage.

What you'd actually do

  1. Lead the implementation and execution of Data Governance and Responsible AI programs across Latin America
  2. Create and deploy policies, standards, and frameworks to ensure ethical, secure, and compliant use of data and AI
  3. Oversee the lifecycle of AI models and data assets, evaluating risks related to bias, privacy, security, and transparency
  4. Develop monitoring frameworks to assess responsible AI usage and recommend mitigation actions when needed
  5. Coordinate cross-functional collaboration with Technology, Data, Strategy, Operations, Risk, Legal, Privacy, and Compliance teams

Skills

Required

  • Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related fields
  • Strong experience in data management, data governance, or analytics roles
  • Proven experience implementing AI/ML governance frameworks or model risk management
  • Strong understanding of AI ethics, fairness, transparency, and regulatory considerations
  • Ability to balance innovation with risk mitigation
  • Advanced English and Spanish proficiency

Nice to have

  • Experience in highly regulated industries such as financial services or healthcare
  • Background in technology risk management and emerging AI regulations
  • Familiarity with global Responsible AI frameworks (e.g., OECD, NIST, UNESCO)
  • Experience working in global organizations with mature data governance practices
  • Strong communication and storytelling skills
  • Experience leading cultural transformation or large-scale technology adoption initiatives
  • Hands-on experience with Data Governance tools and metadata management platforms

What the JD emphasized

  • Responsible AI frameworks
  • AI/ML governance frameworks
  • ethical and responsible AI practices
  • AI ethics, fairness, transparency
  • regulatory requirements

Other signals

  • Responsible AI frameworks
  • AI model risk management
  • AI ethics, fairness, transparency
  • Regulatory requirements