Remote Opportunity
AI Governance Consultant
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Job Description
We are looking for a highly motivated AI Governance Consultant who is driven to help clients stand up AI governance that actually works in practice, not just on paper. We want someone who loves untangling the strategy, risk, policy and technical threads of AI adoption into a governance model that enables innovation rather than blocking it. You will have the background in AI risk and governance frameworks, responsible AI practice, and security and privacy controls for AI systems, as well as strong understanding of how AI governance needs to flex across generative AI, agentic AI and third-party AI services.
What you'll do:
- Assess and document client AI strategy, roadmap, vision and transformation plans, including AI objectives, guiding principles and strategic outcomes
- Review current and planned AI initiatives, executive reporting arrangements, and investment, prioritisation and funding governance processes
- Design and document AI Governance Frameworks, including Terms of Reference for governance committees, decision-making and approval processes, and escalation pathways for AI-related risks and issues
- Develop AI risk assessment methodologies, risk registers, treatment plans and risk taxonomies, including criteria for classifying AI solutions as low, medium or high risk
- Assess emerging AI risks including generative AI, agentic AI, third-party AI services, model drift, hallucination, data leakage, privacy and bias/fairness considerations
- Build and maintain AI system inventories and use case registers, including guardrails, version control, agent prompt registers, and business owners and accountable executives for each use case
- Define and embed Responsible AI principles, aligning with OVIC, DPC, Commonwealth or other recognised AI guidance, and establish human oversight and human-in-the-loop controls
- Assess privacy impact requirements, data classification and handling requirements, and AI-specific privacy controls for AI systems and agents
- Review security architecture, model access controls, IAM arrangements and monitoring/logging capabilities relevant to AI environments
- Establish due diligence, contractual controls and assurance requirements for AI vendors and third-party AI/LLM providers
- Define assurance and monitoring arrangements, including metrics, KPIs, compliance monitoring and incident management processes for AI systems
- Support capability uplift through AI training, awareness programs and guidance on acceptable AI usage
As an AI Governance Consultant you will perform:
- AI Strategy & Governance Framework Design
- AI Risk & Responsible AI Assessment
- Privacy, Security & Vendor Assurance
- AI Inventory, Monitoring & Capability Uplift
What you'll bring:
- Deep understanding of AI governance frameworks, committee structures, and decision-making and escalation processes for AI initiatives
- Strong experience developing AI risk assessment methodologies, risk registers and risk taxonomies, including for generative AI and agentic AI
- Ability to assess AI use cases against risk and business criticality, and maintain AI system and use case inventories
Responsible AI & Privacy
- Experience embedding Responsible AI principles covering fairness, explainability, transparency and accountability
- Working knowledge of OVIC, DPC, Commonwealth or equivalent AI governance guidance
- Understanding of privacy impact assessment requirements, data classification and handling requirements for AI systems and agents
Security & Vendor Assurance
- Understanding of security architecture for AI environments, including model access controls, IAM and data loss prevention considerations
- Experience defining due diligence and contractual assurance requirements for AI vendors and LLM providers
- Ability to assess AI supply-chain risks and third-party AI service arrangements
Leadership & Communication
- Outstanding communication and stakeholder engagement skills, with the ability to work across executive, risk, security and technical audiences
- Able to produce clear governance documentation, reports and presentations for senior and executive stakeholders
- Experience delivering training and awareness programs to uplift AI capability and acceptable-use understanding across an organisation
Tools & Practices
- Familiarity with AI platforms and architectures, including LLM gateways, development platforms and cloud AI services (e.g. AWS AI/ML services such as Bedrock and SageMaker)
- Understanding of monitoring, logging and audit capabilities relevant to AI platforms
- Experience developing metrics and KPIs to monitor AI effectiveness, compliance and risk
Preferred Qualifications
- Relevant certifications or qualifications in AI governance, risk management, privacy or information security (e.g. AI governance/ethics certifications, CIPP/CIPM, ISO/IEC 42001 or ISO/IEC 27001 familiarity)
Skills
AWS
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Posted 2026-09-15
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