AI Trust and Governance Leader
$139.8k - $297.9kMarsh McLennan
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.
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