AI Cybersecurity Governance (m/f/d)
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Key skills for this role
About the Role
Halian is seeking an AI Governance & Model Risk Manager for a banking client in Abu Dhabi. You will design and enforce AI governance frameworks aligned with EU AI Act and CBUAE principles, manage model risk for generative AI, and conduct cyber risk assessments.
Key Skills for This Role
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, data quality, model drift, and retraining.
- 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.
- Provide regular reporting to senior management and risk committees.
Requirements
- 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 experience (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)
- Strong knowledge of AI/ML concepts, LLMs, and generative AI risks
- Knowledge of model validation and risk frameworks (SR 11 7 or equivalent)
- Familiarity with cloud platforms (Azure, AWS, GCP) AI services
- Understanding of cybersecurity principles related to AI systems
- Understanding of data governance, privacy, and ethical AI principles
Full Job Posting
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.
- The role focuses on ensuring robust model risk management for generative AI and conducting cyber risk assessments for AI/ML infrastructure across the bank.
Key Responsibilities
- Develop, implement, and maintain enterprise wide AI governance frameworks in alignment with EU AI Act requirements 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 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.
- 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.
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)
- Strong knowledge of AI/ML concepts, LLMs, and generative AI risks
- Knowledge of model validation and risk frameworks (SR 11 7 or equivalent)
- Familiarity with cloud platforms (Azure, AWS, GCP) AI services
- Understanding of 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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