Job Description

Roles & Responsibilities

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.

REQUIRED SKILLS & QUALIFICATIONS

5+ years (AM) / 8+ years (ManagerSM) 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.

Desired Candidate Profile