AI GOVERNANCE SPECIALIST

Duncan & Ross Consulting; Abu Dhabi; On-site; AED 180,000 - 300,000; Full time

Job summary

Duncan & Ross Consulting seeks an AI Governance Specialist to support the implementation and operation of our AI Governance Operating Model and Trust Framework. You will help ensure AI systems are assessed, governed, monitored and evidenced across their lifecycle.

The role requires hands-on Azure and data ecosystem experience, stakeholder management, and ability to translate policy into practical workflows and evidence packs for governance and assurance.

Qualifications

• 4-7 years of governance/consulting experience across tech risk, data governance, privacy, and AI governance.

Responsibilities

• AI Risk & Impact Assessments: conduct risk and use-case assessments and support mitigation tracking.
• AI Governance Operationalisation: translate policy, standards and controls into practical workflows and evidence requirements.
• AI Lifecycle Governance: support governance reviews across design, development, deployment, operation, monitoring and retirement.
• AI Use-Case & Tool Assessments: assess solutions for model risk, data/privacy risk, security, bias and ethics.
• Data Privacy & Security: assess data handling and work with Data Governance and InfoSec on controls.
• Azure AI Governance: understand solutions in Azure stack and support governance requirements.
• Cross-Functional Governance: coordinate activities across AI, Data, InfoSec, Privacy/Legal, EA and Procurement.
• Monitoring & Evidence: track controls and risks; maintain evidence for governance and assurance.
• Governance Reporting: prepare dashboards, risk summaries and committee reports.
• Framework Implementation: support AI Trust Framework and related standards.

Skills

AI governance

Risk assessment

Data privacy

Azure ecosystem

Governance/consulting

ISO/IEC 42001 / NIST AI RMF

Stakeholder management

Documentation

GRC platforms

Security governance

Tools

OneTrust

Microsoft Purview

Informatica

IBM OpenPages/watsonx.governance

Job description

AI Governance Specialist

Role Purpose

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.

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/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

Vertical

Technology