AI, Data Governance & Privacy Officer | Financial Services

Enterprise AI Governance

• Establish and maintain the enterprise AI Governance Framework
• Define policies standards controls and operating procedures for AI usage
• Create governance models for Agentic AIGenerative AIMachine Learning Advanced Analytics Intelligent Automation
• Chair the AI Governance Committee
• Define AI approval and risk assessment processes
• Ensure AI initiatives align with Regulatory requirements
  
  Ethical AI principles
  
  Security policies
  
  Business objectives
• Implement AI lifecycle governance across development deployment monitoring and retirement
• Develop controls for Explainability Fairness Bias  management
  
  Human oversight
  
  Model monitoring
  
  Prompt governanceAuditability

• Develop and operate the enterprise data governance framework
• Establish data ownership and stewardship models
• Define enterprise standards for Data quality
  
  Metadata management
  
  Master data management
  
  Data lineage
  
  Data retention
  
  Data classification
• Lead enterprise data cataloguing and inventory programmes
• Implement data governance tooling and controls
• Develop governance measures for structured and unstructured data
• Drive data quality improvement initiatives across business functions
• Establish governance for enterprise data platforms analytics environments GenAI platforms and data lakes

• Act as Data Protection Officer where required by regulation
• Lead compliance with UAE PDPLDIFC Data Protection LawGDPROther applicable regional privacy regulations
• Define and maintain enterprise privacy frameworks
• Conduct and oversee Data Protection Impact Assessments DPIAs Privacy Risk Assessments Third-party Privacy Reviews
• Establish Privacy by Design practices across business and technology initiatives
• Manage Data Subject Rights Requests Consent management processes
  
  Cross-border transfer assessments
  
  Breach response governance

• Define model governance standards
• Establish model risk management processes
• Classify AI systems based on risk and criticality
• Develop controls for Model validation
  
  Performance monitoring
  
  Drift detection
  
  Explainability
  
  Human-in-the-loop oversight
• Maintain an enterprise AI model inventory
• Conduct periodic AI risk assessments
• Ensure regulatory readiness for emerging AI regulations

• Monitor evolving AI privacy and data regulations globally
• Translate regulatory requirements into governance controls
• Coordinate regulatory responses and examinations
• Support Internal Audit Risk Compliance and External Audit activities
• Maintain evidence repositories for governance and compliance activities
• Lead remediation of governance and privacy findings

• Define governance requirements for AI vendors and data processors
• Review SaaS contractsAI solution providers
  
  Data sharing arrangements
  
  Third-party processing agreements
• Assess external AI platforms for privacy security compliance and ethical risk
• Establish governance controls for third-party LLMs and foundation model providers

• Develop enterprise-wide training programmes on Responsible AIData governance
  
  Data protection
  
  Information handling
• Build a culture of responsible innovation
• Conduct executive awareness sessions and governance workshops
• Develop reporting dashboards and governance KPIs

Education Bachelor's Degree in Computer Science, Information Systems, Data Science, Cybersecurity, Law, or related field.

Master's Degree preferred.

Experience
10+ years of experience in data governance, privacy, risk, information management, or technology governance.

Minimum 5 years leading enterprise governance initiatives.

Experience with in insurance, financial services, banking, or regulated industries preferred.

Practical experience governing:

AI/ML platforms

Generative AICloud platforms

Enterprise data environments