VP, AI Risk Manager

Chubb•Readington Township, NJ

About The Position

Major initiatives are underway at Chubb to build on our strengths and expand Chubb’s use of data, analytics and artificial intelligence. This means data-enriched processes, built in risk controls and real-time insights embedded across our footprint with a world-class customer experience that sets us apart. The AI Risk Manager is a VP that plays a critical role in safeguarding the integrity and reliability of our Artificial Intelligence solutions. This expert is dedicated to identifying and managing risks throughout the AI lifecycle, from initial deployment to ongoing operation. Responsibilities include ensuring our models remain robust and resilient, protecting sensitive data, and defending against emerging threats. The AI Risk Manager crafts and executes risk mitigation plans that not only meet regulatory standards but also reflect Chubb’s commitment to governance. By working closely with teams across the business, Global Data & Analytics, this role helps embed strong oversight and transparency into our AI practices. Additional responsibilities include tracking and reporting on key risk indicators, conducting independent risk assessments, and supporting audits and regulatory reviews, ensuring Chubb remains a trusted leader in a rapidly changing digital environment.

Responsibilities

Ensure that AI initiatives align with Chubb’s risk appetite, regulatory obligations, and enterprise-wide governance standards.
Identify, assess, and continuously monitor risks related to AI models, including model and data drift, emerging threats, and privacy issues.
Design and implement robust controls, such as model validation, explainability protocols, and secure data management to safeguard AI models.
Ensure strict adherence to internal policies and external regulations (e.g., FFIEC, NIST AI RMF, EU AI Act), providing assurance to senior leadership and the Board.
Facilitate and support audits and regulatory examinations, demonstrating Chubb’s commitment to responsible AI and cybersecurity practices.
Develop and present key risk indicators (KRIs) and metrics to senior leadership, risk committees, and the Board, enabling informed decision-making at the highest level.
Provide objective review and credible challenge of Global Data & Analytics (AI) risk profiles, reinforcing governance and risk management frameworks.
Define and communicate Chubb’s organizational risk appetite for AI initiatives, ensuring alignment with senior leadership and Board priorities.
Advise Global Data & Analytics, business and IT leaders on operational risk management policies, and standards for AI.
Lead organizational AI risk initiatives to influence security posture and collaborate across Chubb in a dynamic risk environment.