Ai Governance Specialist

Support the implementation and day-to-day operation of the organisation's AI Governance Operating Model and Trust Framework, ensuring AI systems are assessed, governed, monitored and evidenced throughout their lifecycle.

• Hands-on with Microsoft Azure and data ecosystem.
• AI governance Operating Model implementation
• Risk Assessment and Treatment (risk and controls implementation)
• Data privacy/security assessment
• AI Maturity evidence collection, collation, analysis, scoring, narrative building and other DGE mandated assessment activities.
• Outstanding stakeholder management
• Operationalise AI Governance Metrics

• AI Risk & Impact Assessments:
  Conduct AI risk, impact and use-case assessments; support risk classification, treatment actions and mitigation tracking.
• AI Governance Operationalisation:
  Translate defined AI policy, standards and controls into practical workflows, registers, templates, checklists and evidence requirements.
• AI Lifecycle Governance:
  Support governance reviews and control checks across AI design, development, deployment, operation, monitoring and retirement.
• AI Use-Case & Tool Assessments:
  Assess AI/GenAI/Agentic AI solutions for model risk, data/privacy risk, security, bias, ethics, human oversight and responsible use.
• Data Privacy & Security:
  Assess how AI systems collect, access, process and share data; identify privacy and data-security risks and work with Data Governance and Info Sec teams on required controls.
• Azure AI Governance:
  Understand AI solutions implemented using the Microsoft Azure stack, including Azure AI services, Azure OpenAI, data platforms, identity/access, security and monitoring, and support governance requirements within this environment.
• Cross-Functional Governance:
  Coordinate governance activities and remediation actions across AI, Data, Info Sec, Privacy/Legal, Enterprise Architecture and Procurement teams.
• Monitoring & Evidence:
  Track control implementation, AI risks, exceptions, issues, remediation actions and lifecycle monitoring requirements; maintain evidence required for governance and assurance.
• Governance Reporting:
  Prepare governance dashboards, assessment results, evidence packs, risk summaries and committee/management reporting.
• Framework Implementation:
  Support implementation and continuous improvement of the AI Trust Framework, AI Risk Framework, AI system classification, controls and associated standards/guidance.

• 4-7 years of relevant experience across technology risk, data governance, privacy, cybersecurity, responsible AI or AI governance, with demonstrable hands-on governance/consulting experience.
• Practical experience conducting risk, privacy, security, compliance or technology assessments and translating findings into controls and remediation actions.
• Good understanding of AI/ML, Generative AI and Agentic AI concepts, including associated risks.
• Working understanding of the Microsoft Azure ecosystem and how AI, data, identity, security and monitoring services interact.
• Experience with data privacy and data-security requirements, including privacy-by-design and handling of personal, sensitive and confidential information.
• Familiarity with AI governance standards/frameworks such as ISO/IEC 42001, NIST AI RMF and responsible AI principles.
• Experience with governance/GRC/privacy/data-governance platforms such as One Trust, Microsoft Purview, Informatica, IBM Open Pages/watsonx.governance or equivalent is advantageous.
• Strong analytical, documentation and stakeholder-management skills, with the ability to work across technical, business, security, data and legal teams.

Location: Abu Dhabi, UAE (on-site) |
Duration: 3 months |
Start: ASAP, subject to security clearance |
Language: Arabic speakers preferred

Technology