The AI Governance & Model Risk Manager will be responsible for designing, implementing, and enforcing AI governance frameworks aligned with EU AI Act and CBUAE AI principles. The role focuses on ensuring robust model risk management for generative AI and conducting cyber risk assessments for AI/ML infrastructure across the bank, while ensuring compliance with evolving regulatory requirements and internal risk standards.
Key Responsibilities
AI Governance & Regulatory Compliance
- Develop, implement, and maintain enterprise-wide AI governance frameworks in alignment with:
- EU AI Act requirements
- CBUAE AI principles and UAE regulatory expectations
- Establish policies, standards, and procedures for responsible AI usage across business units
- Ensure proper classification, documentation, and lifecycle management of AI systems (including high-risk AI use cases)
- Act as the central point of contact for regulatory engagement related to AI governance
- Monitor regulatory developments and ensure timely updates to governance frameworks
Model Risk Management (MRM) – Generative AI
- Design and implement model risk management frameworks tailored to generative AI and advanced ML models
- Define model validation, approval, monitoring, and periodic review processes
- Establish controls around:
- Model explainability and transparency
- Bias and fairness testing
- Data quality and integrity
- Model drift, performance, and retraining
- Partner with Data Science and Technology teams to ensure risk-aware model development and deployment
- Maintain model inventory and risk classification aligned with internal and regulatory expectations
Cyber Risk & AI Infrastructure Security
- Conduct cybersecurity risk assessments for AI/ML platforms, including cloud-based AI environments
- Identify vulnerabilities in AI lifecycle components including data pipelines, training environments, and inference endpoints
- Collaborate with IT Security teams to implement controls for:
- Adversarial attacks and model poisoning
- Data leakage and privacy risks
- Secure model deployment and API protection
- Ensure alignment with enterprise cybersecurity frameworks and regulatory standards
Risk Monitoring & Reporting
- Develop risk dashboards, KPIs, and KRIs for AI governance and model risks
- Provide regular reporting to senior management and risk committees
- Support internal and external audits related to AI governance and model risk
- Ensure issues are tracked, remediated, and escalated appropriately
Stakeholder Management & Advisory
- Collaborate with Risk, Compliance, Data, Technology, and Business teams to embed AI governance practices
- Provide advisory support on AI use cases, ensuring risk-by-design principles
- Conduct awareness sessions and training on AI risk and governance
Qualifications & Experience
Education
- Bachelor’s or Master’s degree in:
- Data Science, Computer Science, AI/ML
- Risk Management, Finance, or related field
Experience
- 6–10+ years of experience in:
- Model Risk Management / Technology Risk / AI Governance
- Banking or financial services (mandatory or highly preferred)
- Hands-on experience with:
- Generative AI models and ML lifecycle
- Regulatory frameworks (EU AI Act, CBUAE guidelines, or similar)
Technical & Functional Skills
- Strong knowledge of:
- AI/ML concepts, LLMs, and generative AI risks
- Model validation and risk frameworks (SR 11-7 or equivalent)
- Familiarity with:
- Cloud platforms (Azure, AWS, GCP) AI services
- Cybersecurity principles related to AI systems
- Understanding of:
- Data governance, privacy, and ethical AI principles
Soft Skills
- Strong analytical and risk assessment capabilities
- Excellent stakeholder management and communication skills
- Ability to translate regulatory requirements into practical frameworks
- High attention to detail and governance mindset
Key Competencies
- AI Governance & Compliance
- Model Risk Management
- Regulatory Interpretation
- Cyber Risk & Security Awareness
- Stakeholder Engagement
- Strategic Thinking
Nice to Have
- Certifications such as:
- FRM / PRM
- Certified Model Risk Professional (CMRP)
- AI Ethics / Responsible AI certifications
- Experience working with regulators or audit bodies
