AI Cybersecurity Governance (m/f/d)

Overview

EU AI Act

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

Education

• Bachelor’s or Master’s degree in:

+ Data Science, Computer Science, AI/ML

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

• Model Risk Management

• Regulatory Interpretation

• Cyber Risk & Security Awareness

• Stakeholder Engagement
• Strategic Thinking
• Nice to Have
• Certifications such as:

+ Certified Model Risk Professional (CMRP)

• + AI Ethics / Responsible AI certifications
• Experience working with regulators or audit bodies
• AI Cybersecurity Governance in Abu Dhabi, United Arab Emirates