Job Description
Key Responsibilities
Lead and govern the execution of the Data and AI Risk Programme, ensuring alignment with enterprise strategy, compliance mandates, and industry best practices.
Define the programme roadmap, risk frameworks, operating model, and success metrics.
Collaborate with cross-functional teams-Legal, Compliance, Data Science, IT Security, Regulatory Affairs-to embed AI and data risk mitigation into enterprise processes.
Oversee the assessment and governance of AI/ML models, ensuring transparency, fairness, explainability, and compliance with standards (e.g., EU AI Act, GDPR, ISO/IEC 23894, NIST AI RMF).
Develop internal policies and frameworks for AI model lifecycle management, ethical review, and risk controls.
Serve as the primary point of contact for regulatory discussions related to data and AI risks.
Provide regular reporting to executive leadership, risk committees, and relevant external bodies.
Lead change management, training, and internal awa...
Lead and govern the execution of the Data and AI Risk Programme, ensuring alignment with enterprise strategy, compliance mandates, and industry best practices.
Define the programme roadmap, risk frameworks, operating model, and success metrics.
Collaborate with cross-functional teams-Legal, Compliance, Data Science, IT Security, Regulatory Affairs-to embed AI and data risk mitigation into enterprise processes.
Oversee the assessment and governance of AI/ML models, ensuring transparency, fairness, explainability, and compliance with standards (e.g., EU AI Act, GDPR, ISO/IEC 23894, NIST AI RMF).
Develop internal policies and frameworks for AI model lifecycle management, ethical review, and risk controls.
Serve as the primary point of contact for regulatory discussions related to data and AI risks.
Provide regular reporting to executive leadership, risk committees, and relevant external bodies.
Lead change management, training, and internal awa...
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