AI Governance Manager in City of Westminster

Overview

Teneo is seeking an experienced AI Governance Manager to design, implement, and operationalise the firm’s approach to responsible AI governance and enablement. This role sits at the intersection of AI enablement, information security, data governance, privacy, legal, compliance, risk, and technology. It will ensure AI use cases across the firm are assessed, governed, documented, monitored, and enabled in a consistent, risk‑based, and business‑aligned way. The position is based in London and follows a hybrid working model, with three days per week in the office.

Responsibilities

• Design, implement, and continuously improve Teneo’s AI governance framework, including policies, standards, procedures, controls, and operating processes.
• Embed responsible AI principles—transparency, accountability, fairness, privacy, security, human oversight, and appropriate use—across the organisation.
• Develop governance processes that guide AI initiatives from idea to approval, implementation, monitoring, and retirement.
• Align AI governance practices with broader information security, privacy, legal, data governance, third‑party risk, and enterprise risk frameworks.
• Support AI use‑case intake, triage, assessment, approval, and ongoing review, covering generative AI tools, internal solutions, third‑party platforms, and embedded AI in SaaS products.
• Maintain AI inventories, use‑case registers, attestations, and supporting documentation for approved and production AI solutions.
• Conduct AI risk assessments to identify and mitigate risks related to data exposure, privacy, bias, explainability, output reliability, intellectual property, security, vendor dependency, and misuse.
• Ensure governance artefacts support internal audit, client assurance, regulatory reviews, and management oversight.
• Monitor emerging AI‑related regulatory, industry, and supervisory developments and assess their impact on Teneo’s governance approach.
• Define and maintain AI governance metrics, dashboards, benchmarks, and key risk indicators to provide visibility into AI adoption, risk posture, and control effectiveness.
• Prepare reports, dashboards, issue papers, and presentations for leadership, governance forums, and committees.
• Translate complex AI governance and risk topics into clear, business‑focused language for senior stakeholders and non‑technical audiences.
• Act as a trusted advisor to business, technology, data, legal, compliance, privacy, security, and risk stakeholders on responsible AI use and governance expectations.
• Support education, awareness, and enablement activities that help employees use AI tools safely, securely, and in line with Teneo’s policies.
• Partner with AI enablement and technology teams to identify friction points and improve guidance, templates, workflows, and user experience.
• Promote a pragmatic governance culture that enables responsible innovation while avoiding unnecessary friction.

Qualifications

• 5 – 8+ years of experience in technology risk, cybersecurity governance, data governance, privacy, compliance, digital risk, consulting, AI governance, or related fields.
• Strong understanding of AI governance, responsible AI, data risk, technology risk, and control frameworks.
• Experience supporting or managing cross‑functional governance processes involving technology, legal, privacy, security, compliance, risk, and business stakeholders.
• Practical understanding of generative AI, machine learning, agentic AI, SaaS AI features, or AI‑enabled business tools and the risks they introduce.
• Ability to evaluate AI use cases from a risk and governance perspective, including data usage, security, privacy, explainability, human oversight, and operational impact.
• Strong written and verbal communication skills, with the ability to translate technical and regulatory concepts into practical business guidance.
• Strong stakeholder management skills and the ability to influence teams without direct authority.
• Comfortable operating in an evolving environment where frameworks, processes, and ways of working are still being defined.
• Desirable experience building or maturing AI governance, responsible AI, model risk, data governance, technology risk, or digital transformation governance programmes.
• Exposure to AI governance frameworks, standards, or regulations such as NIST AI RMF, ISO/IEC 42001, ISO 27001, GDPR, EU AI Act concepts, or similar.
• Experience supporting AI inventories, use‑case registers, governance committees, control testing, audit readiness, or regulatory/client assurance activities.
• Experience assessing third‑party AI vendors, SaaS platforms, LLM‑enabled tools, or AI‑enabled workflow automation.
• Familiarity with MLOps, LLMOps, model monitoring, AI lifecycle controls, prompt/output testing, or production readiness concepts.
• Experience developing guidance, playbooks, training, or enablement materials for non‑technical stakeholders.
• Relevant certifications such as CISM, CISSP, CRISC, ISO 42001, privacy certifications, data governance certifications, or AI governance credentials.

Benefits

• Competitive salary (depending on experience)
• 28 days holiday
• Discretionary bonus
• Annual salary review
• Pension with company contribution (5% of annual salary)
• Enhanced maternity and paternity leave (depending on length of service) and shared parental leave
• Private medical insurance
• Group income protection
• Life assurance
• Cycle to work schemes
• Season ticket loans
• Regular social, cultural and charitable activities
• Flexible working with office laptop and phone provided