AI Trust and Governance Leader

Marsh McLennan is hiring an AI Trust and Governance Leader in New York, United States. It pays $140k-$298k a year and Level rates it ; you can apply on Level.

AI in this role

Company:

Marsh

Description:

We are seeking a strategic and execution focused individual to lead our AI Trust and Governance for Marsh Risk. This role is geographically flexible. This is a hybrid role that has a requirement of working at least three days a week in the office. This role reports into the Marsh Risk AI and Digital Colleague Experience leader.

This is a high-impact role sits at the intersection of engineering, colleague experience, and data.
Drives the evaluation, prioritization, and value realization across AI initiatives.
Partners with the Regional COOs, Regional Digital Leads, Regional Data Leads and BCS colleagues to set and drive the strategic direction and technology strategy.
Ensures management consistent and cohesive management reporting.
Monitors availability and utilization of third-party resources globally.

We will count on you to:

Operationalize the AI trust, risk, and governance framework across BCS, aligned to enterprise policies and regulatory expectations
Implement legal, compliance, privacy, and security requirements into practical, scalable controls, embedded within AI development and deployment workflows
Serve as the primary interface between BCS and partners across legal, compliance, privacy, security, and engineering
Establish governance model for AI use cases, including intake risk tiering, approvals, and ongoing monitoring
Lead executive reporting on AI risk and governance, synthesizing complex technical and regulatory topics into clear, actionable insights.
Enable organization through education, playbooks, and guardrails that make compliant AI development faster and more consistent
Partner with VMO to onboard AI vendors, ensuring third-party solutions meet internal standards for risk, privacy, security, and compliance

What you need to have:

A minimum of 8 years of experience in risk, governance, compliance, technology controls, or related roles.
A minimum of 3 years of experience delivering AI/ML systems, data governance, 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 (e.g., data privacy laws, emerging AI regulations, etc.)
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

What makes you stand out?

Experience in regulated industries (e.g., insurance, financial services, etc.)
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 matrix, global environment, 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

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

The applicable base salary range for this role is $139,800 to $297,900.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

How we rate this

AI Trust and Governance Leader at Marsh McLennan rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.