AI Trust and Governance Leader

Marsh McLennan•Atlanta, NY

16h•Hybrid

About The Position

Marsh is seeking a strategic, execution-focused leader to lead AI Trust and Governance for Marsh Risk. The role is geographically flexible and hybrid, requiring at least three days per week in the office or onsite with clients. It reports to the Marsh Risk AI and Digital Colleague Experience leader and operates at the intersection of engineering, colleague experience, and data. The leader drives evaluation, prioritization, and value realization across AI initiatives; partners with Regional COOs, Regional Digital Leads, Regional Data Leads, and BCS colleagues on strategic direction and technology strategy; ensures consistent management reporting; and monitors the availability and utilization of third-party resources globally. The role operationalizes AI trust, risk, and governance across BCS, aligned with enterprise policies and regulatory expectations. It translates legal, compliance, privacy, and security requirements into scalable controls embedded in AI development and deployment workflows; establishes governance for AI use cases; leads executive reporting; enables colleagues through education and practical guidance; and partners with VMO to onboard and govern AI vendors.

Requirements

At least 8 years of experience in risk, governance, compliance, technology controls, or related roles.
At least 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.

Nice To Haves

Experience in regulated industries such as insurance or financial services.
Experience building and scaling AI governance from the ground up.
Familiarity with frameworks such as NIST AI RMF, model risk management (MRM), or similar.
Comfort operating in a matrixed, global environment and influencing without authority.
Ability to balance risk mitigation with speed, enabling innovation while maintaining strong controls.
Experience evaluating and governing third-party AI vendors and platforms at scale.
A pragmatic mindset focused on building usable, scalable governance within a defined privacy environment.

Responsibilities

Operationalize the AI trust, risk, and governance framework across BCS, aligned to enterprise policies and regulatory expectations.
Implement legal, compliance, privacy, and security requirements as practical, scalable controls within 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, turning complex technical and regulatory topics into clear, actionable insights.
Enable the organization through education, playbooks, and guardrails that make compliant AI development faster and more consistent.
Partner with VMO to onboard AI vendors and ensure third-party solutions meet internal risk, privacy, security, and compliance standards.
Drive evaluation, prioritization, and value realization across AI initiatives.
Partner with Regional COOs, Regional Digital Leads, Regional Data Leads, and BCS colleagues to set strategic direction and technology strategy.
Ensure consistent and cohesive management reporting.
Monitor the availability and utilization of third-party resources globally.