AI Governance Manager
at Opentalent
Dubai, Dubai, United Arab Emirates, onsite, senior, contract, 5+ years
posted 16 Apr 2026
- Azure ML
- SageMaker
- MLOps
- Vertex AI
- EU AI Act
- AI Governance
- MLflow
- ISO/IEC 42001
- NIST AI RMF
About the role
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AI Governance Manager UAE
AI Governance Manager UAE
We are seeking an AI Governance specialist to help a leading UAE enterprise build the frameworks, policies, and oversight mechanisms needed to deploy AI responsibly and at scale. This is a high-visibility role at the intersection of ethics, regulation, risk management, and emerging technology.
What you would do
• Design and implement an enterprise AI governance framework covering the full AI lifecycle: development, validation, deployment, monitoring, and decommissioning.
• Define AI risk classification methodology (risk tiers) and establish corresponding oversight and approval processes.
• Develop policies for responsible AI: fairness, explainability, transparency, privacy preservation, and human oversight.
• Align the AI governance framework with emerging global and regional AI regulations (UAE AI Regulation, EU AI Act, ISO/IEC 42001).
• Build an AI model inventory / registry tracking all deployed models, risk levels, owners, and review schedules.
• Establish AI incident and bias monitoring processes; define escalation and remediation playbooks.
• Collaborate with data science, legal, compliance, and IT security teams to embed governance controls throughout the MLOps pipeline.
• Lead AI ethics and responsible AI training programmes for technology and business teams.
• Produce AI governance dashboards, risk reports, and board-level briefings on AI programme health.
What they are looking for
• 5+ years (AM) / 8+ years (Manager–SM) in AI governance, responsible AI, risk management, or data ethics roles.
• Knowledge of global AI governance frameworks: NIST AI RMF, EU AI Act, UAE National AI Strategy, ISO/IEC 42001.
• Understanding of AI/ML model lifecycle: training, validation, deployment, monitoring, and bias detection.
• Experience developing AI risk classification systems and model review processes.
• Strong policy writing and regulatory interpretation skills.
• Familiarity with MLOps platforms (MLflow, Azure ML, Vertex AI, SageMaker) for governance integration.
• Certification in AI ethics, risk management (FRM, PRM), or data governance (CDMP) is highly advantageous.
ai governanceenterpriserisk tiersuae ai regulationinventorymlops pipelinecertification in ai ethics risk management frm prm or data governance cdmp is highly advantageous
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DepartmentEngineering
LocationDubai, Dubai, United Arab Emirates
Tenurecontractual
LevelSenior
Posted April 16, 2026
Read from opentalent.in, last seen 4d ago.