AI Trust and Governance Leader

About the role

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.

Responsibilities

• Operationalize the AI trust, risk, and governance framework across BCS, aligned to enterprise policies and regulatory expectations
• 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
• Makes sure third-party resources are available and utilized globally

Requirements

• 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, 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

Qualifications

• 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
• A 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

Skills

• 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
• 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

Benefits

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.

Pay

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.

Schedule

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.