AI Trust and Governance Leader

Marsh McLennan

. Lead AI Trust and Governance for Marsh Risk .

Posted 10/13/2026full-timeNew York City • New York • United StatesSenior💰 $139,800 - $297,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in AI Trust and Governance, with a strong focus on risk management, compliance, and the implementation of scalable controls in AI development. Proven ability to lead cross-functional teams and establish governance frameworks that align with regulatory expectations.

Highest-signal resume keywords

AI Risk ManagementGovernance Framework DesignStakeholder ManagementData Privacy ComplianceModel Risk Management

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/ML Systems DeliveryRisk GovernanceCompliance ControlsData GovernanceModel MonitoringBias MitigationExplainability in AIThird-Party Vendor EvaluationNIST AI RMF FamiliarityRegulatory Compliance

Soft Skills

Executive CommunicationCross-Functional CollaborationInfluencing Without AuthorityStakeholder EngagementPragmatic Mindset

Industry Keywords

InsuranceFinancial ServicesRegulated IndustriesPrivacy EnvironmentCyber Security

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Lead AI Trust and Governance for Marsh Risk
Drive evaluation, prioritization, and value realization across AI initiatives
Partner with Regional COOs, Regional Digital Leads, Regional Data Leads, and BCS colleagues on strategic and technology direction
Ensure consistent and cohesive management reporting
Monitor availability and utilization of third-party resources globally
Operationalize the AI trust, risk, and governance framework across BCS
Implement legal, compliance, privacy, and security requirements as scalable controls in AI development and deployment workflows
Serve as the primary interface between BCS and legal, compliance, privacy, security, and engineering partners
Establish governance for AI use cases, including intake risk tiering, approvals, and ongoing monitoring
Lead executive reporting on AI risk and governance
Enable the organization through education, playbooks, and guardrails
Partner with VMO to onboard AI vendors and ensure third-party solutions meet internal standards

Requirements

What you’ll need

Minimum of 8 years of experience in risk, governance, compliance, technology controls, or related roles
Minimum of 3 years of experience delivering AI/ML systems, data governance, or model risk management
Strong understanding of AI risks and controls, including bias, explainability, data privacy, and model monitoring
Experience designing and implementing governance frameworks, policies, and control environments
Familiarity with regulatory expectations, including data privacy laws and emerging AI regulations
Experience partnering with Cyber Security, Privacy, Legal, Compliance, and Vendor Management functions
Excellent stakeholder management and executive communication skills
Proven ability to operate in cross-functional and highly matrixed organizations
Experience in regulated industries such as insurance or financial services
Experience building and scaling AI governance from the ground up
Familiarity with NIST AI RMF, model risk management (MRM), or similar frameworks
Comfort operating in a matrix, global environment and influencing without authority
Ability to balance risk mitigation with speed while maintaining strong controls
Experience evaluating and governing third-party AI vendors and platforms at scale
Pragmatic mindset focused on usable, scalable governance within a defined privacy environment

Benefits

Comp & perks

Professional development opportunities
Health and welfare benefits
Tuition assistance
401K savings
Other retirement programs
Employee assistance programs
Flexible hybrid work arrangement
Supportive leaders and inclusive work environment
Career opportunities
Performance-based incentives may be available