Full job descriptionSenior AI Governance Consultant
London, Manchester or Glasgow (Hybrid)
£70k - £100k per annum + bonus and benefits


Artificial Intelligence is transforming the way organisations operate, but ensuring it’s deployed safely, ethically and responsibly has never been more important.
This is your opportunity to join a specialist AI Governance & Trust team, working with leading organisations to design the governance, policies and frameworks that enable trusted AI at scale. You’ll work on high-profile transformation programmes, influence how businesses adopt AI, and help organisations navigate an evolving regulatory landscape.
If you have recent, hands-on experience in AI Governance and want to work at the forefront of one of the fastest-growing areas in technology consulting, this is an opportunity you won’t want to miss.


What you’ll be doing:
As a Senior Consultant, you’ll work closely with clients to develop practical, scalable AI governance solutions, including:
*Designing and implementing AI governance frameworks, policies and operating models that support responsible AI adoption across the organisation.
*Developing governance processes spanning the full AI lifecycle, from concept and development through deployment, monitoring and continuous improvement.
*Providing AI assurance expertise by assessing AI systems against regulatory requirements, government guidance and ethical standards, including GDPR, the EU AI Act and other leading AI governance frameworks.
*Collaborating with technical and business stakeholders to embed effective AI governance aligned to organisational strategy, culture and objectives.
*Developing and enhancing AI governance tools, methodologies and assets to help clients respond to an evolving regulatory landscape.
*Delivering workshops, training and knowledge-sharing sessions that build client capability and embed responsible AI practices.
*Supporting business development through proposals, bids, client presentations and proposition development, while contributing to thought leadership, internal initiatives and the continued growth of the AI Governance & Trust practice.
What we’re looking for:
You’ll combine consulting experience with a passion for responsible AI and strong stakeholder engagement skills. We’re looking for:
*Recent hands-on experience delivering AI governance, Responsible AI or AI assurance projects, including governance frameworks, policies, operating models and governance processes.
*Strong understanding of AI governance, AI ethics and the regulatory landscape, including frameworks such as the EU AI Act, GDPR, ISO/IEC 42001, ISO/IEC 23894, OECD AI Principles and the NIST AI Risk Management Framework.
*Knowledge of AI and data technologies, including AI lifecycle governance, model risk assessment, bias evaluation, data governance and post-deployment monitoring.
*The ability to translate complex governance challenges into practical solutions across people, process, technology and data.
*Excellent communication and facilitation skills, with experience presenting to both technical and non-technical stakeholders and leading workshops.
*Experience delivering training, developing client capability and producing high-quality consulting deliverables.
*A proactive, curious mindset with a genuine interest in emerging AI technologies, evolving regulations and industry best practice.
*Desirable: Experience contributing to business development activities, proposals, thought leadership, internal practice development or proposition creation.
If you’ve held any of these roles or used these technologies/skills, this role could be a great fit: AI Governance Consultant, Responsible AI Consultant, AI Risk Consultant, AI Assurance Consultant, AI Ethics Consultant, Technology Risk Consultant, Data Governance Consultant, AI Strategy Consultant, AI Compliance Consultant, Digital Trust Consultant, Management Consultant, AI Governance Frameworks, Responsible AI, AI Assurance, AI Ethics, AI Regulation, AI Risk Management, EU AI Act, GDPR, ISO/IEC 42001, ISO/IEC 23894, NIST AI RMF, OECD AI Principles, Generative AI, AI Lifecycle Governance, Model Risk Management, Data Governance.


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