AI GOVERNANCE SPECIALIST

AI Governance Specialist

Role Purpose

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

The role requires a combination of:

• 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

Key Responsibilities

• 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 InfoSec 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 InfoSec 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.

Required Experience & Skills

• 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 OneTrust Microsoft Purview Informatica IBM OpenPages/ 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

Vertical:

Technology