Senior AI Governance & Responsible AI Leader

Capgemini Invent; Dubai; On-site; AED 350,000 - 700,000; Full time

Job summary

Capgemini Invent in Dubai seeks an senior AI governance leader to shape enterprise-scale governance for AI adoption. You will design governance frameworks, risk controls and oversight forums, translating policy into actionable processes with cross-functional partners.

The role requires deep experience in AI governance, regulatory/compliance awareness across regulated sectors, and the ability to operationalize responsible AI principles within large-scale programs.

Qualifications

• 8-12+ years in AI governance, data governance, risk, compliance, audit, cyber/privacy or consulting.
• Experience designing governance frameworks or controls for technology, data, AI or digital programs.
• Exposure to public sector, government, financial services, telecom, energy or regulated sectors.
• Comfort translating policy intent into pragmatic processes and operational controls.

Responsibilities

• Design and deliver AI governance frameworks, Agentic Control plane, Responsible AI controls, policies, risk assessments and assurance approaches for enterprise-scale AI adoption.
• Develop AI governance frameworks, policy artefacts, risk taxonomy and oversight forums.
• Design controls for fairness, transparency, explainability, human oversight, safety and auditability.
• Create use-case intake, AI impact assessment, model inventory and approval workflows.

Skills

AI governance

Policy artefacts

Risk assessment

Model risk concepts

GenAI risks

ISO 42001

NIST AI RMF

Job description

Capgemini Invent in Dubai seeks an senior AI governance leader to shape enterprise-scale governance for AI adoption. You will design governance frameworks, risk controls and oversight forums, translating policy into actionable processes with cross-functional partners.

The role requires deep experience in AI governance, regulatory/compliance awareness across regulated sectors, and the ability to operationalize responsible AI principles within large-scale programs.