• Proven
track record of successfully implementing AI governance frameworks and
supporting tools in large enterprise environments.
• Deep knowledge of the EU AI Act and related AI regulations, with
experience in risk classification of AI systems and ensuring enterprise
compliance readiness.
• Demonstrated ability to align AI governance with existing enterprise
compliance frameworks (data protection, risk management, security) for
integrated compliance.
• Expertise in developing and executing AI governance policies and
processes across the AI lifecycle (from design to deployment) to ensure
responsible, transparent AI use.
• Familiarity with AI governance tools and platforms for oversight,
monitoring, and compliance (e.g., model inventory or risk management
systems).
• Solid understanding of AI/ML technologies and lifecycle; capable of
assessing model performance, bias, and security risks to ensure robust AI
solutions.
• Excellent communication skills, able to clearly explain complex AI
governance concepts to both technical and non-technical stakeholders.
• Strong stakeholder engagement and cross-functional collaboration
abilities, guiding teams across legal, IT, and business domains in governance
efforts.
• Analytical and strategic mindset, with strong problem-solving skills to
navigate complex AI governance challenges and develop effective solutions.
• Fluency in English (written and spoken) is required for effective
communication and documentation.