VP, AI Operating Model and ExecutionData & Analytics | Shared ServicesPurpose: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.The VP, AI Operating Model and Execution 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, agentic ways of working. 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.OverviewAI Operating ModelDesign and operationalize an AI operating model, defining which work is retained by employees or delegated to agents with human-above-the-loop workflowsPartner 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 themHelp shape the agent ecosystem: agent roles, orchestration logic, tool/data access,



and how agents connect and work together across the broader AI platformEstablish a framework and governance model for tracking human-to-agent work ratios across teams as the operating model scalesDefine guardrails, escalation paths, and human oversight checkpoints for agent-driven decisions and actionsLead change management for teams transitioning to a blended human-agent model, ensuring employees are equipped to supervise, direct, and collaborate with agentsAI Strategy, Adoption & ScalingIdentify where AI can materially improve how people work, prioritizing impact over experimentationTranslate emerging AI capabilities into practical, human-centered solutions that deliver measurable outcomesPartner across product, engineering, legal, compliance, and business teams to ensure responsible rolloutImplement feedback loops and metrics to track adoption, trust, and productivity impactNavigate data governance, privacy, and security requirements in a regulated setting without stalling progressCodify patterns, playbooks, and standards that can extend beyond Data & Analytics to the broader enterpriseLead working sessions, labs, and workshops to educate, energize, and mobilize teamsAddress cultural barriers preventing adoption e.G., "I am faster doing it myself" mindset or simply workflow inertiaAI Experience DesignDefine intuitive interaction models for AI tools and agents across Data & AnalyticsDesign and refine end-to-end human–AI journeys, including feedback and learning loopsConduct deep user discovery and usability testing to surface real friction points as AI tools and agents are introducedBalance automation with transparency, explainability, and user control to build trustEstablish and evangelize clear design principles for responsible, human-first AI #J-18808-Ljbffr

📌 Vp, Ai Operating Model And Execution (Toronto)
🏢 Socket.dev
📍 Toronto