Sr. Specialist, Governance, Risk and Compliance (TCF)

Job Title:

Job Description

Function: Governance, Risk & Compliance
Role Level: Senior Manager / Senior Specialist

We are seeking an experienced professional to support the development, implementation, and ongoing management of the organisation’s AI Governance, Risk & Compliance programme. The role will focus on AI risk assessments, governance documentation, Responsible AI practices, regulatory and standards alignment, and the establishment of consistent governance processes across the AI lifecycle.

The individual will work closely with the team, Data Privacy, Legal, Technology, AI Product teams, and other stakeholders to embed responsible, secure, compliant, and risk-informed AI practices across the organisation.

• →AI Governance & Frameworks: Support the development, implementation, and continuous improvement of the AI governance framework, policies, standards, procedures, and operating guidance.
• →AI Risk Management: Manage AI risk assessments and related documentation, including risk identification, impact assessments, risk treatment plans, mitigation tracking, and periodic reviews.
• →ISO/IEC 42001 & AIMS: Maintain and enhance the Artificial Intelligence Management System (AIMS) documentation, controls, evidence, objectives, metrics, and governance processes to support ongoing compliance and certification requirements.
• →Responsible AI: Support implementation of Responsible AI principles, including fairness, transparency, accountability, human oversight, explainability, and appropriate use of AI.
• →AI Lifecycle Governance: Establish and maintain governance requirements for AI use cases, AI-enabled solutions, Generative AI tools,
  
  AI agents, and third-party AI services across their lifecycle.
• →Policy & Guidance Development: Develop and maintain AI governance policies, standards, guidelines, risk assessment methodologies, and practical Do’s and Don’ts for AI adoption and enablement.
• →Regulatory & Standards Alignment: Monitor relevant AI regulations, standards, and emerging requirements and translate them into actionable governance requirements and controls.
• →Governance Operations & Reporting: Coordinate AI governance reviews, maintain risk and compliance registers, track remediation actions, define programme metrics, and prepare management reporting.
• →Stakeholder Engagement: Collaborate with Security, Privacy, Legal, Compliance, Enterprise Risk, Technology, and business teams to embed AI governance into existing risk management and operational processes.
• →Audit & Assurance: Coordinate AI-related client audits, evidence demonstration, and remediation of identified gaps.
• →AI Governance Awareness: Support stakeholder awareness, training, and guidance to promote consistent adoption of AI governance requirements across the organisation.
• →Complete all assigned, mandatory training within the timeframe provided
• →Conduct and/or participate in regularly scheduled 1:1 meetings with direct manager and/or direct reports 

• Bachelor’s degree in Information Security, Computer Science, Information Systems, Risk Management, Law, or a related discipline.
• 8–12 years of relevant experience in Governance, Risk & Compliance, Information Security, Privacy, Technology Risk, or related fields, including meaningful experience in AI governance or AI risk management.
• Practical understanding of AI risk assessment, Responsible AI principles, AI governance frameworks, and AI lifecycle controls.
• Experience developing and maintaining governance documentation, policies, standards, procedures, risk registers, and compliance evidence.
• Familiarity with ISO/IEC 42001, ISO 27001, NIST AI Risk Management Framework, and applicable AI regulatory requirements.
• Experience supporting audits, certification programmes, control assessments, risk remediation, and cross-functional governance initiatives.
• Strong stakeholder management, analytical, documentation, communication, and programme coordination skills.

• Experience implementing or maintaining an AI Management System (AIMS) or an enterprise AI governance programme.
• Exposure to Generative AI, large language models (LLMs), AI agents, AI-enabled products, and third-party AI platforms.
• Ability to translate emerging AI risks, standards, and regulatory requirements into practical governance controls and business guidance.
• Ability to work independently, manage multiple workstreams, and engage effectively with senior stakeholders and technical teams.

Location:

Language Requirements:

Time Type: