AI Governance Manager
HybridLondon, England, United Kingdom
Job Summary
AI Governance Manager at Teneo based in London (hybrid—three days per week in the office). Design, implement, and operationalise the firm’s AI governance framework, risk controls, and enablement across AI initiatives. Collaborate with AI enablement, technology, data, legal, privacy, security, compliance, risk, and business stakeholders to assess, govern, document, monitor, and enable AI use cases (including generative AI and third-party platforms) with a focus on transparency, accountability, privacy, security, human oversight, and regulatory alignment. Produce auditable artefacts, manage AI inventories and use-case registers, and support governance maturity, executive reporting, and practical enablement for non-technical stakeholders. Maintain awareness of evolving AI regulations and industry developments, translating complex concepts into actionable guidance for leadership.
Required Qualifications
- Must-Have
- 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.
Desired 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.
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