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Head of AI Governance, Artificial Intelligence - UAE National

Unlock employer Dubai, United Arab Emirates Posted: 03 Nov 2025

Financial

  • Estimate: $120k - $150k*
  • Zero income tax location

Accessibility

  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

The Head of AI Governance is responsible for establishing and enforcing the governance framework for all AI initiatives across the enterprise. This role ensures that AI systems are developed, deployed, and monitored in compliance with regulatory requirements, internal policies, and ethical standards. The position drives risk management, transparency, and accountability for AI models, while enabling innovation within a controlled and secure environment.

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Responsibilities

  • Define and maintain the enterprise AI governance framework, including policies, standards, and operating procedures.
  • Align governance practices with global regulations (e.g., EU AI Act, local regulatory bodies) and internal compliance requirements.
  • Develop guidelines for responsible AI, fairness, explainability, and bias mitigation.
  • Implement model risk governance processes, including validation, monitoring, and periodic reviews.
  • Ensure adherence to data privacy, security, and ethical AI principles throughout the AI lifecycle.
  • Establish approval workflows for AI models, including risk classification and sign-off processes.
  • Define metrics and dashboards for monitoring AI performance, drift, and compliance status.
  • Collaborate with business units, technology teams, and external regulators to ensure governance alignment.
  • Drive AI literacy programs focused on governance, risk, and compliance for stakeholders.
  • Continuously update governance frameworks to reflect evolving regulations and technologies.

Requirements

  • Education: Bachelor’s or Master’s in Computer Science, Data Governance, Risk Management, or related field.
  • Experience: 12+ years in governance, risk, or compliance roles, with at least 5 years in AI/ML governance or model risk management.
  • Strong knowledge of AI/ML lifecycle, model validation, and monitoring practices.
  • Familiarity with regulatory frameworks (e.g., EU AI Act, ISO AI standards) and ethical AI principles.
  • Ability to influence senior stakeholders, manage cross-functional teams, and drive organizational change.
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