About the position
Role Overview
We are seeking an experienced AI Governance Specialist for our client to establish and drive AI governance practices that ensure the responsible, secure, ethical, and compliant use of Artificial Intelligence across the enterprise.
The successful candidate will define AI governance frameworks, assess AI-related risks, implement controls, and ensure AI solutions comply with organisational policies, regulatory requirements, and Responsible AI principles. The role requires close collaboration with business, technology, data, cybersecurity, legal, risk, and compliance teams throughout the AI lifecycle.
Key Responsibilities
- Develop and maintain AI governance frameworks, policies, standards, and operating procedures.
- Establish governance processes and controls across the AI lifecycle, from ideation through deployment and monitoring.
- Conduct AI risk assessments covering fairness, bias, explainability, privacy, security, and compliance.
- Define AI risk classification models, approval processes, and governance checkpoints.
- Support implementation of Responsible AI principles, including human oversight and accountability.
- Establish governance controls for Generative AI, LLMs, and AI Agents, addressing risks such as hallucinations, prompt injection, data leakage, and unauthorised access.
- Develop and maintain AI risk registers, control matrices, impact assessments, and governance documentation.
- Ensure AI solutions comply with applicable regulations, standards, and internal policies.
- Define governance metrics, KRIs, reporting dashboards, and audit readiness requirements.
- Conduct governance awareness sessions and provide advisory support to business and technology teams.
- Monitor emerging AI regulations, standards, and industry best practices.
Required Experience
- 5+ years of experience in AI Governance, Technology Risk, Model Risk Management, Data Governance, Information Security, Compliance, or Enterprise Risk Management.
- Experience developing governance frameworks, policies, controls, and risk assessment methodologies.
- Experience working with AI/ML platforms, Generative AI, LLMs, and AI lifecycle management.
- Exposure to regulatory compliance, audit, and risk management environments.
- Ability to engage effectively with senior business and technology stakeholders.
Required Skills
- Strong understanding of AI/ML concepts, Generative AI, LLMs, and AI governance.
- Knowledge of Responsible AI principles including fairness, transparency, explainability, accountability, privacy, and human oversight.
- Understanding of AI-related risks such as bias, model drift, hallucinations, security vulnerabilities, and data privacy concerns.
- Experience with risk assessments, control testing, governance reporting, and audit support.
- Excellent analytical, communication, stakeholder management, and documentation skills.
Preferred Qualifications
- Degree in Computer Science, Information Systems, Engineering, Data Science, Risk Management, Law, or related discipline.
- Relevant certifications such as CISA, CISM, CISSP, CRISC, CDPSE, ISO 27001, or AI Governance/Responsible AI certifications.
Nice to Have
- Experience with NIST AI Risk Management Framework (AI RMF), ISO 42001, ISO 27001, or similar governance frameworks.
- Experience governing cloud-based AI and enterprise AI platforms.
Desired Skills:
- Systems Analysis
- Complex Problem Solving
- Programming/configuration
- Critical Thinking
- Time Management
