AI Governance Manager

The Role

Teneo is seeking an experienced AI Governance Manager to help design implement and ope rationalise 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…