AI Governance Lead

• Design and implement AI Governance and Responsible AI frameworks, defining responsibilities, decision-making processes, accountability, and escalation procedures
• Establish AI risk assessment and classification processes to evaluate AI applications based on their business context, impact, and potential risks
• Translate applicable regulations, Responsible AI principles, and organizational policies into practical governance controls and documentation requirements
• Define governance checkpoints throughout the AI lifecycle, including testing, approvals, deployment readiness, monitoring, and periodic reviews
• Establish human oversight mechanisms that clarify when AI decisions require human validation, intervention, or escalation
• Collaborate with clients, engineering teams, Legal, Risk, Compliance, and Security specialists to implement governance requirements and evaluate their effectiveness
• Develop reusable governance documentation, assessment methods, control frameworks, and best practices
• Advise clients on AI governance maturity and improvement opportunities

• Strong experience designing or implementing AI Governance, Responsible AI, model risk, technology risk, or comparable governance frameworks
• Experience translating governance policies into practical processes, risk assessments, controls, and approval workflows
• Understanding of AI lifecycle risks, including development, deployment, monitoring, accountability, and human oversight
• Experience working with regulatory, privacy, compliance, or technology-risk requirements relevant to the business environment
• Experience collaborating with multidisciplinary teams, including Legal, Risk, Compliance, Security, Engineering, and business stakeholders
• Strong communication and consulting skills, including the ability to advise clients, explain governance requirements, and support governance maturity assessments
• Knowledge of AI Governance and Responsible AI principles, including transparency, accountability, fairness, privacy, and human oversight
• Familiarity with recognized AI governance frameworks such as NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, or comparable standards
• Understanding of AI risk assessments, governance controls, audit evidence, compliance processes, and risk classification
• Working knowledge of GenAI, LLMs, RAG, AI agents, and automated decision-making systems
• Understanding of AI lifecycle management, governance documentation, monitoring, and approval processes
• Familiarity with data protection, technology risk, security, and relevant regulatory requirements
• Experience governing agentic AI systems, autonomous workflows, or complex AI decision-making processes
• Experience with AI assurance, model validation, Responsible AI testing, or red teaming
• Knowledge of governance, risk, and compliance (GRC) platforms or AI governance management tools
• Experience with AI data governance, including data provenance, quality, usage rights, and retrieval sources
• Experience working in regulated industries or across multiple regulatory jurisdictions
• Consulting or professional services experience, including governance assessments, client workshops, and development of reusable methodologies

• International and multicultural projects
• Opportunities to work with leading technologies in Data, Cloud, and AI ecosystems
• Access to training programs and continuous professional development
• Professional growth opportunities and internal mobility
• A culture built on collaboration, innovation, and continuous learning