AI Governance Senior Consultant
Listed on 2026-07-24
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IT/Tech
AI Business & Operations, AI Evaluation, AI Engineer (Applied/Software)
Your Role
This role sits at the intersection of strategy, innovation, and delivery, shaping how organisations design, govern, and scale AI in a safe, transparent, and trustworthy way.
Responsibilities- Work closely with clients to design and implement practical AI governance frameworks that enable responsible AI adoption at scale.
- Help clients develop governance processes across the AI lifecycle that guide AI solutions from initial concept through development, deployment, monitoring and improvement.
- Contribute technical assurance expertise to help clients evaluate AI systems for compliance with regulations, government guidelines, and ethical standards – including major global frameworks such as GDPR and the EU AI Act.
- Engage with a wide range of stakeholders to ensure AI governance approaches are informed, inclusive, and strategically aligned with client objectives and organisational culture.
- Shape and refine our assets and tools to support clients in navigating the rapidly evolving AI governance landscape.
- Share knowledge and build client capability, helping teams understand responsible AI principles, adopt new governance practices, and become more confident in managing AI safely and effectively.
- Business Development – Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
- Internal contribution – Campaign development, internal think‑tanks and thought‑leadership, practice development (operations, recruitment, team events & activities), offer development.
- Learning & development – Keeping colleagues informed and upskilled around new AI governance standards, regulatory updates, and best practice approaches as well as knowledge and skills training to support your own career development.
As part of the AI Governance & Trust Team, you’ll help shape the future of responsible AI consulting. We’re looking for people who align with our core values, are curious, thoughtful, and genuinely invested in ensuring AI and emerging technologies are used safely and responsibly. You’ll be passionate about helping organisations unlock the potential of AI by advising them on how to establish effective AI governance to ensure Responsible AI across their organisations.
We know that great teams are built on diverse strengths and experiences. Below are some key skills and experience we are looking for – you don’t need to tick every box to be a strong candidate.
Key Skills- Deep understanding of AI governance, ethics and regulatory landscape – Able to translate ethical and regulatory expectations and AI governance best practice (e.g. EU AI Act, ISO/IEC 42001, 23894, OECD, NIST AI RMF) into practical policies, controls and risk‑based governance requirements.
- Strong understanding of data and AI technologies – Knowledge of how AI systems are built, deployed, and monitored to effectively assess and manage risks across the AI lifecycle, including conducting model risk assessments, aligning with data governance requirements, assessing bias and performance, supporting post‑deployment monitoring.
- Strategic thinking – Proven ability to break down complex AI governance challenges into structured components across people, process, technology, and data, and develop effective governance frameworks, operating models, accountability structures and AI oversight forums.
- Excellent communication and collaboration skills – Skilled at explaining ethical and regulatory requirements, governance concepts and risks to technical and non‑technical teams. Effective working across multidisciplinary teams to support informed decision‑making.
- Growth mindset and curiosity – Continuously learning, staying engaged with evolving regulatory changes, governance approaches, emerging risks, and assurance tools and techniques.
- AI governance delivery – Delivery experience creating or enhancing AI governance policies, processes and operating models that support responsible AI development and oversight.
- Change and capability uplift – Delivered knowledge sharing sessions, training materials, and practical assets, enabling clients to upskill their teams on…
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