VP, Human–AI Experience & Adoption

Chubb European Group Ltd.; Philadelphia (Philadelphia County); On-site; USD 180,000 - 230,000; Full time

Job summary

Chubb European Group Ltd. seeks a leader at the intersection of design, enterprise AI strategy, and scaling adoption across the enterprise.

You will design, build, deploy, and iterate AI-enabled solutions, collaborating with product, engineering, legal, compliance, and business teams to drive measurable impact across the organization. This role will establish an AI operating model, governance, guardrails, and human-in-the-loop oversight, while leading change management and ensuring responsible,

Job description

This role sits at the intersection of design, enterprise AI strategy, and has the mandate to scale adoption 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 use AI tools and direct, supervise, and collaborate with AI agents in an effective, nimble way.

This is not a theoretical or advisory role. You will design, build, deploy, and iterate, demonstrating what’s possible and collaborate with other teams to scale 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.

AI Operating Model

• Design and operationalize an AI operating model, defining which work is retained by employees or delegated to agents with human-above-the-loop workflows
• Partner with Data & Analytics leadership to sequence the rollout, phasing where and when agents are introduced, what capabilities they require, and how human roles evolve alongside them
• Help shape the agent ecosystem: agent roles, orchestration logic, tool/data access, and how agents connect and work together across the broader AI platform
• Establish a framework and governance model for tracking human-to-agent work ratios across teams as the operating model scales
• Define guardrails, escalation paths, and human oversight checkpoints for agent-driven decisions and actions
• Lead change management for teams transitioning to a blended human-agent model, ensuring employees are equipped to supervise, direct, and collaborate with agents

AI Strategy, Adoption & Scaling

• Identify where AI can materially improve how people work, prioritizing impact over experimentation
• Translate emerging AI capabilities into practical, human-centered solutions that deliver measurable outcomes
• 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