VP, AI Operating Model and Execution
On-siteToronto, Ontario, Canada
Job Summary
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, establishing guardrails, escalation paths, and human oversight checkpoints for agent-driven decisions. Conduct deep user discovery and usability testing to surface friction points, while leading working sessions and workshops to educate teams and address cultural barriers. Translate emerging AI capabilities into practical, human-centered solutions that deliver measurable outcomes, balancing automation with transparency and user control. Codify patterns, playbooks, and standards that extend beyond Data & Analytics to the broader enterprise.
Required Qualifications
- Experience designing, building, deploying, and iterating AI tools and agents
- Ability to design and operationalize an AI operating model
- Capability to define guardrails, escalation paths, and human oversight checkpoints for agent-driven decisions
- Experience leading change management for teams transitioning to a blended human-agent model
- Ability to identify where AI can materially improve how people work and prioritize impact over experimentation
- Experience translating emerging AI capabilities into practical, human-centered solutions
- Capability to partner across product, engineering, legal, compliance, and business teams
- Experience implementing feedback loops and metrics to track adoption, trust, and productivity impact
- Ability to navigate data governance, privacy, and security requirements in a regulated environment
- Experience codifying patterns, playbooks, and standards for enterprise-wide extension
- Capability to conduct deep user discovery and usability testing
- Experience balancing automation with transparency, explainability, and user control
- Ability to address cultural barriers preventing AI adoption
Desired Qualifications
- Experience defining intuitive interaction models for AI tools and agents
- Ability to design and refine end-to-end human–AI journeys including feedback and learning loops
- Experience establishing and evangelizing clear design principles for responsible, human-first AI
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