AI Governance Manager

The Role

Teneo is seeking an experienced AI Governance Manager to help design implement and operationalise the firms 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. You will help ensure AI use cases across the firm are assessed governed documented monitored and enabled in a consistent risk-based and business-aligned way.

The role is weighted toward governance risk and control while also supporting responsible AI adoption through practical guidance stakeholder education and clear enablement pathways. You will help teams understand how to use AI safely and effectively while ensuring the right guardrails evidence approvals and oversight are in place.

This role is suited to someone who understands the opportunities and risks associated with AI adoption particularly generative AI agentic AI SaaS AI features and third-party AI platforms. You do not need to be a hands-on machine learning engineer but you should be comfortable engaging with technical risk and business stakeholders to evaluate AI use cases identify risks define controls and support responsible adoption.

You will play a key role in helping Teneo enable innovation while maintaining strong governance auditability security privacy and client trust.

The position is based in London and follows a hybrid working model with three days per week in the office.

Responsibilities

AI Governance Risk & Controls - Primary Focus

AI Governance Framework & Controls

• Support the design implementation and continuous improvement of Teneos AI governance framework including policies standards procedures controls and operating processes.
• Help define and embed responsible AI principles across the organisation including transparency accountability fairness privacy security human oversight and appropriate use.
• Develop practical governance processes that guide AI initiatives from idea to approval implementation monitoring and retirement in a controlled and repeatable way.
• Align AI governance practices with broader information security privacy legal data governance third-party risk and enterprise risk frameworks.
• Support the development of clear auditable documentation and control evidence for AI-related decisions approvals risks exceptions and mitigations.

AI Use Case Lifecycle Management

• Partner with AI enablement technology data legal privacy security and business stakeholders to guide AI use cases through appropriate review and governance pathways.
• Support intake triage assessment approval and ongoing review of AI use cases including generative AI tools internal AI solutions third-party AI platforms and embedded AI capabilities in SaaS products.
• Ensure AI use cases are evaluated for business value duplication data sensitivity security risk privacy considerations model/output risk operational resilience and alignment with enterprise standards.
• Maintain AI inventories use case registers attestations and supporting documentation for approved and production AI solutions.
• Help define requirements for production readiness including ownership monitoring access controls data handling testing human oversight and exit or retirement considerations.

AI Risk Assessment & Responsible AI Assurance

• Conduct or support AI risk assessments to identify risks related to data exposure privacy bias explainability output reliability intellectual property security vendor dependency and misuse.
• Work with technical and business stakeholders to define appropriate controls and mitigations based on the risk profile of each AI use case.
• Support the review of third-party AI tools and platforms working closely with Third Party Risk Legal Privacy Procurement and Information Security teams.
• Ensure AI governance activities produce consistent traceable and defensible artefacts to support internal audit client assurance regulatory reviews and management oversight.
• Monitor emerging AI-related regulatory industry and supervisory developments and help assess their impact on Teneos governance approach.

Metrics Reporting & Executive Communication

• Define and maintain AI governance metrics dashboards benchmarks and key risk indicators to provide visibility into AI adoption risk posture governance activity and control effectiveness.
• Prepare materials for leadership governance forums committees and other stakeholders including dashboards summaries issue papers and presentations.
• Support regular reporting on AI initiatives approved use cases emerging risks exceptions remediation actions and governance maturity.
• Translate complex AI governance and risk topics into clear business-focused language for senior stakeholders and non-technical audiences.

AI Enablement & Adoption - Supporting Focus

Stakeholder Partnership & Responsible AI Enablement

• Act as a trusted advisor to business technology data legal compliance privacy security and risk stakeholders on responsible AI use and governance expectations.
• Help teams navigate AI governance processes efficiently ensuring they understand what is required why it matters and how to progress AI use cases responsibly.
• Support education awareness and enablement activities that help employees understand how to use AI tools safely securely and in line with Teneos policies.
• Partner with AI enablement and technology teams to identify common friction points in the governance process and improve guidance templates workflows and user experience.
• Promote a pragmatic governance culture that enables responsible innovation rather than creating unnecessary friction.
• Support the development of reusable guidance playbooks checklists and FAQs to help business teams assess and progress AI opportunities consistently.

Requirements

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.
• 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.

Why Join Teneos Security & Governance Team

At Teneo youll be part of a global organisation helping senior leaders and clients solve complex business challenges. This role offers the opportunity to shape how AI is governed adopted and scaled across the firm.

Youll help build practical governance processes that enable innovation while protecting Teneo its clients and its people. You will work with senior stakeholders across the business contribute to firmwide AI governance maturity and play a meaningful role in ensuring AI is used responsibly securely and effectively.

Company Benefits

As well as this we offer a whole host of benefits and reward including:

• 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

About Teneo

Teneo is the global CEO advisory firm. We partner with our clients globally to do great things for a better future. Drawing upon our global team and expansive network of senior advisors we provide advisory services across our five business segments on a stand-alone or fully integrated basis to help our clients solve complex business challenges. Our clients include a significant number of the Fortune 100 and FTSE 100 as well as other corporations financial institutions and organizations.

Our full range of advisory services includes strategic communications investor relations financial transactions and restructuring management consulting physical and cyber risk organizational design board and executive search geopolitics and government affairs corporate governance ESG and DE&I. The firm has more than 1800 employees located in 45 offices around the world.

Required Experience:

Manager

Employment Type : Full Time
Experience: years
Vacancy: 1