AIOS Engagement Lead
HybridToronto, Ontario, Canada
Job Summary
Own the engagement roadmap, priorities, and value-realization plan in partnership with client business sponsors, serving as the primary day-to-day interface with client leadership to build alignment on priorities, expectations, and success measures. Lead the Discover phase by defining outcomes, intent, constraints, and governance prior to development, then translate business requirements into actionable roadmaps that clearly communicate trade-offs and dependencies to the technical squad. Align stakeholders on scope, success criteria, and value-realization milestones while managing scope changes and prioritization conflicts. Drive the weekly intent review to confirm priorities and resolve ambiguity, ensuring delivery remains focused on agreed business intent and measurable outcomes. Identify and resolve impediments to value realization, including organizational, process, data, technology, and governance barriers. Own the adoption and enablement strategy for AI agent-augmented workflows, ensuring change impacts, training, and user readiness are addressed. Lead the Embed phase by ensuring new roles, working rhythms, and knowledge are adopted by client teams, while coaching the cross-functional engagement team and representing the initiative to platform leadership on risks and decisions.
Required Qualifications
- 8–10+ years of experience in client delivery, consulting, or business transformation roles, scaled to level
- Bachelor's degree in business, Comp Sci, Finance, Technology or related field, or equivalent professional experience
- Strong understanding of banking operations
- Working knowledge of AI agentic delivery models
- Ability to measure combined human and AI agent performance
- Strong knowledge of enterprise transformation, stakeholder management, change management, training design, and adoption measurement
- Experience defining business cases, success measures, ROI indicators, and value-realization frameworks for complex technology or operating model transformations
- Ability to translate between business and technical stakeholders
- Sufficient understanding of AI architecture, data, integration, governance, and delivery constraints
- Working knowledge of the full AIOS delivery journey (Discover, Design, Build, Embed, Expand)
- Knowledge of responsible AI, data governance, privacy, risk, compliance considerations in regulated environments
- Familiarity with the business outcomes layer of the platform's AI metrics framework
- Experience leading cross-functional teams through complex, high-visibility client initiatives involving senior business and technology stakeholders
Desired Qualifications
- Prior experience as an Engagement Lead, Engagement Manager, Program Director, Transformation Lead, or equivalent role within a consulting, professional services, enterprise software, or financial-services organization, or large-scale enterprise IT environments
- Experience leading a client through a genuine operating model transformation involving AI or automation, beyond a software deployment
- Experience helping clients transition from vendor-led implementation to internally owned, sustainable capability
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