AI Cybersecurity Governance; m​/f​/d

Job Description

Company: Halian

Location: AE

Position: AI Cybersecurity Governance (m/f/d)

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
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Source: Learn4Good