Senior AI Governance Manager

LGT Private Banking

. Lead the development, implementation and continuous improvement of the group-wide AI governance framework, including policies, standards, controls and guidance.

Posted 9/24/2026full-timeBendern • LiechtensteinSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI Governance and Model Risk Management, with a strong understanding of regulatory frameworks and the ability to lead initiatives in an international environment. Proficient in promoting responsible AI practices and ensuring compliance across the AI lifecycle.

Highest-signal resume keywords

AI GovernanceModel Risk ManagementRegulatory FrameworksStakeholder AlignmentAnalytical Skills

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI ConceptsMachine LearningRisk AssessmentGovernance FrameworksData ProtectionOperational ResilienceAudit PrinciplesCompliance StandardsMonitoring and Reporting

Soft Skills

Excellent CommunicationConstructive ChallengePragmatic Problem-Solving

Certifications & Qualifications

AI Governance CertificationRisk Management CertificationCompliance CertificationData Protection CertificationInformation Security Certification

Industry Keywords

BankingFinancial ServicesInsuranceEU AI ActFINMA ExpectationsMAS Guidance

About the role

Key responsibilities & impact

Lead the development, implementation and continuous improvement of the group-wide AI governance framework, including policies, standards, controls and guidance.
Drive the operationalisation of AI governance across the AI lifecycle, from use-case intake and risk assessment to approval, monitoring and periodic review.
Act as a trusted advisor to business, technology and control functions on responsible AI practices, regulatory expectations and governance requirements.
Maintain oversight of AI use cases, inventories and documentation to support transparency, auditability and consistent governance across locations.
Monitor regulatory and industry developments related to AI, data, model risk and digital banking, and translate them into practical requirements.
Prepare reporting, recommendations and decision materials for senior stakeholders, governance bodies and control functions.
Promote awareness and adoption of responsible AI through training, guidance and collaboration across the group.

Requirements

What you’ll need

Several years of experience in AI governance, model risk management or a related field, preferably within banking, financial services or insurance.
Very strong understanding of AI and machine learning concepts, including related risks, controls and governance expectations across the AI lifecycle.
Familiarity with relevant regulatory and industry frameworks, such as the EU AI Act, FINMA expectations, MAS guidance, model risk management principles, data protection and operational resilience requirements.
Proven ability to lead topics, initiatives and stakeholder alignment in an international matrix organisation, without requiring direct people management responsibility.
Structured, pragmatic and solution-oriented working style, with strong analytical skills and the ability to challenge constructively.
Excellent communication skills in English; German is an advantage.
Relevant certifications or further education in AI governance, risk management, compliance, audit, data protection or information security are preferred.