VP, Human–AI Experience & Adoption

JOB DESCRIPTION

This role sits at the intersection of human centered design, enterprise AI strategy, and organizational change, with a clear mandate: prove how AI should work for people at Chubb, then scale it across the enterprise.

Chubb is building AI infrastructure that will fundamentally change how work gets done.

We are moving toward a future where employees can query decades of institutional knowledge, generate documents grounded in organizational context, and surface insights from emails, meetings, and internal systems through natural, conversational interaction with AI.

The VP, Human-AI Experience & Adoption exists to make that future real.

You will serve as the connector among users, technologists, and senior leaders across Global Data & Analytics, advancing the vision, building early examples, and driving adoption of AI native productivity tools.

This is not a theoretical or advisory role.

You will design, build, deploy, and iterate, demonstrating what's possible before scaling solutions across the enterprise.

Our credibility and product insight depend on being exemplary AI users ourselves.

This role exists to break through institutional inertia, challenge "the way we have always done it" and make our AI-team the most AI-augmented team at Chubb.

Enterprise AI Strategy & Adoption Leadership


* Identify where AI can materially improve how people work, prioritizing impact over experimentation


* Partner with Data & Analytics leadership to define AI adoption roadmaps grounded in real user needs


* Lead working sessions, labs, and workshops to educate, energize, and mobilize teams


* Articulate how connected AI systems transform productivity, decision-making, and institutional memory


* Translate emerging AI capabilities into practical, human-centered solutions that deliver measurable outcomes

Human Centered AI Experience Design


* Define intuitive, trustworthy interaction models for AI-powered tools across Data & Analytics


* Identify high-impact use cases; prioritize ruthlessly and prototype quickly to prove value


* Balance automation with transparency, explainability, and user control to build trust


* Conduct deep user discovery and usability testing to surface real friction points


* Design and refine end-to-end human-AI journeys, including feedback and learning loops


* Establish and evangelize clear design principles for responsible, human-first AI


* Build and lead a small, high-impact team of engineers and data specialists delivering internal AI knowledge infrastructure


* Address cultural barriers preventing adoption e.g., "I am faster doing it myself" mindset or simply workflow inertia

Cross Functional Partnership & Scaling Impact


* Partner across product, engineering, legal, compliance, and business teams to ensure responsible rollout


* Implement feedback loops and metrics to track adoption, trust, and productivity impact


* Navigate data governance, priva...