AI Governance Manager

TSG Corp; Genf; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Zusammenfassung

TSG Corp is seeking an AI Governance Manager to own the design and operation of the governance framework for scaling AI/ML and generative AI use cases safely and ethically. You will bridge policy detail and executive narrative, collaborating with risk, compliance, legal, and product teams in a regulated environment.

The role requires translating strategy into practical controls, managing governance forums, and ensuring regulatory alignment across the AI lifecycle.

Qualifikationen

• 6+ years in governance, risk, compliance, or data/AI roles with AI governance exposure.
• Experience designing or operating governance frameworks in regulated environments.
• Experience running governance committees and engaging senior stakeholders.
• Familiarity with AI risk classification and lifecycle governance.

Aufgaben

• Design, implement, and improve AI governance framework with policies, standards, controls.
• Translate governance strategy into day-to-day operating procedures for AI lifecycles.
• Facilitate governance forums, review boards, and approval gates for AI use cases.
• Embed responsible‑AI and privacy-by-design into products with Legal and Security teams.
• Maintain AI/ML use-case inventory and risk register; track remediation.
• Monitor AI regulation and translate into internal policy updates.
• Design and deliver AI governance training and literacy programs.
• Support audits, regulatory examinations, and governance reporting to senior management.

Kenntnisse

AI governance

Governance & risk

Regulatory compliance

Executive stakeholder management

Data governance

GRC tooling

Azure familiarity

Power BI / Excel

Ausbildung

University degree in law, risk management, business, or computer science

AI governance certification (e.g. AIGP)

Tools

Microsoft Purview

Power BI

Excel

Azure OpenAI / Azure ML

Jobbeschreibung

We're hiring an AI Governance Manager; You'll own the design and day-to-day operation of the AI governance framework that allows the business to scale AI/ML and generative AI use cases safely, ethically, and in line with regulatory expectations. This is the right role for someone who has translated governance strategy into practical controls before; someone comfortable sitting between technical teams, risk and compliance functions, and senior stakeholders, and who can hold both the policy detail and the executive narrative.

Responsibilities

• Design, implement, and continuously improve the organization's AI governance framework — policies, standards, and controls aligned to internal risk appetite and external regulatory expectations
• Translate governance strategy into practical, day-to-day operating procedures across the full AI/ML and generative AI lifecycle
• Facilitate governance forums, review boards, and approval gates for new AI/ML and agentic use cases, including credible challenge on scope and risk classification
• Partner with Legal, Compliance, Data Protection, Model Risk, and Information Security to embed responsible‑AI, privacy‑by‑design, and regulatory requirements into products from the outset
• Maintain the AI/ML use‑case inventory and risk register, classify systems by risk tier, and track remediation of governance gaps
• Monitor emerging AI regulation and supervisory guidance, and translate it into internal policy and control updates
• Design and deliver AI governance training and AI‑literacy programs to raise awareness across business and technical teams
• Support internal and external audits, regulatory examinations, and governance reporting to senior management

Experience

• 6+ years in governance, risk, compliance, or data/AI-related roles, with meaningful time spent specifically on AI or data governance
• Track record designing or operating governance frameworks inside a large, complex, regulated organization (financial services, healthcare, or public sector a plus)
• Experience running governance committees or forums and engaging senior and executive stakeholders
• Familiarity with AI risk classification and lifecycle governance across proof‑of‑concept through production

Technical fluency

• Working knowledge of AI/ML and LLM system fundamentals, sufficient to assess risk — not necessarily to build
• Familiarity with responsible‑AI frameworks (e.g. NIST AI RMF, ISO/IEC 42001) and applicable AI regulation, and how they map to internal controls
• Understanding of model risk management principles — independent validation, monitoring, and documentation expectations
• Exposure to data governance and privacy tooling (data lineage, access management, Microsoft Purview or equivalent)
• Comfortable working with GRC/workflow tooling and Power BI/Excel for governance reporting
• Basic familiarity with the modern AI stack on Microsoft Azure (Azure OpenAI, Azure AI Foundry, Azure Machine Learning), enough to engage credibly with engineering teams

Ways of working

• Strong stakeholder management and executive communication
• Comfortable operating at the intersection of technical, risk, and business teams
• Structured and detail‑oriented, with the confidence to hold a line under ambiguity or pushback
• Experience working within agile/committee-based governance operating rhythms

Qualifications

• University degree in law, risk management, business, computer science, or a related field (advanced degree or AI governance certification, e.g. AIGP, a plus)
• Fluent English and French
• Eligibility to work in Switzerland

Your Data

By submitting your resume, you agree to the retention and use of your personal data by TSG for recruitment purposes, including sharing with our clients in the context of your application. The identity and sector of the client will be disclosed to shortlisted candidates ahead of interview.