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AI Cybersecurity Governance (m/f/d)

Halian | Managed Services, Recruitment Agency & Contract Staffing
Abu Dhabi Emirate, UAE
Full Time
Manager
Onsite
1 months ago
AI GovernanceModel Risk ManagementGenerative AIEU AI ActCBUAE AI PrinciplesCyber Risk Assessment
Free

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AI GovernanceModel Risk ManagementGenerative AI
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Role Overview

  • 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, focusing on model risk management for generative AI and cyber risk assessments for AI/ML infrastructure.

Key Responsibilities

  • Develop, implement, and maintain enterprise wide AI governance frameworks in alignment with EU AI Act and CBUAE AI principles
  • 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
  • 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, bias and fairness testing, data quality, and model drift
  • Partner with Data Science and Technology teams to ensure risk aware model development and deployment
  • 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
  • Develop risk dashboards, KPIs, and KRIs for AI governance and model risks

Qualifications & Experience

  • Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Risk Management, Finance, or related field
  • 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
  • Hands on experience with regulatory frameworks (EU AI Act, CBUAE guidelines, or similar)

Technical & Functional Skills

  • Strong knowledge of AI/ML concepts, LLMs, and generative AI risks
  • Strong knowledge of model validation and risk frameworks (SR 11 7 or equivalent)
  • Familiarity with cloud platforms (Azure, AWS, GCP) AI services
  • Familiarity with 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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