We are looking for an organised and detail-focused AI Governance & Compliance Coordinator to support the responsible and compliant use of artificial intelligence across the organisation.

This is an excellent opportunity for a graduate or early-career professional looking to develop a career within AI governance, compliance, risk and responsible AI.

You do not need previous professional experience in AI governance. We are looking for candidates who can demonstrate a genuine interest in artificial intelligence and an understanding of the importance of responsible, ethical and compliant AI.

The successful candidate will work alongside technology, compliance, risk and operational teams to support the day-to-day governance of AI systems and use cases.

• Maintain accurate records of AI systems, applications and use cases.
• Support the organisation's AI governance processes and procedures.
• Assist with AI risk assessments and governance reviews.
• Maintain AI governance documentation and evidence.
• Track governance actions, issues and remediation activities through to completion.
• Support internal audits, reviews and compliance checks.
• Assist with monitoring emerging AI regulations, standards and guidance.
• Support the development and maintenance of AI policies, procedures and guidance.
• Assist with the assessment and documentation of AI-related risks, including privacy, fairness, transparency and accountability.
• Coordinate information and documentation between technology, compliance, risk and business teams.
• Prepare reports, spreadsheets and governance documentation for management.
• Maintain governance registers and ensure information remains accurate and up to date.
• Support responsible-AI awareness and training initiatives.
• Assist with third-party and supplier AI governance activities where required.
• Escalate potential governance, compliance or risk issues appropriately.
• Contribute to the continuous improvement of AI governance processes.

This role would suit someone who is organised, analytical and interested in how artificial intelligence is changing businesses and society.

You may be a recent graduate, an early-career professional or someone looking to move into AI governance from administration, compliance, risk, technology, operations or another related field.

• Strong written and verbal communication skills.
• Excellent attention to detail.
• Strong organisational and administrative skills.
• Ability to research and understand new information.
• Ability to maintain accurate records and documentation.
• Good Microsoft Office skills, particularly Excel and Word.
• Ability to manage multiple tasks and deadlines.
• Professional approach to confidential information.
• Genuine interest in artificial intelligence, governance and responsible technology.

• Verifiable knowledge or understanding of AI governance and AI ethics.
• Understanding of responsible AI principles.
• Awareness of AI risk and compliance.
• Awareness of data protection and privacy principles.
• Awareness of frameworks such as NIST AI RMF or ISO/IEC 42001.
• Previous experience in administration, compliance, risk, audit, governance or technology.
• Experience preparing reports, maintaining registers or supporting internal processes.
• Degree or equivalent experience in business, law, technology, computing, social sciences or a related discipline.

Previous employment in AI governance is not required.

We are interested in candidates who can demonstrate a genuine understanding of AI governance and responsible AI through education, professional development, previous work, projects or other verifiable experience.

You will receive support and training to develop your knowledge of the organisation's governance processes and requirements.

The successful candidate will gain practical experience in areas including:

• AI governance
• Responsible AI
• AI risk management
• AI compliance
• AI policies and controls
• AI use-case assessment
• Governance documentation
• Audit and assurance
• Data protection
• AI regulatory developments
• Risk and control processes