This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Technical Program Manager based in Canada. This is a senior leadership opportunity to drive complex, large-scale enterprise technology transformations within a fast-growing applied AI and engineering environment. As a Technical Program Manager, you will oversee the full lifecycle of major AI, cloud, and digital transformation programs, translating business objectives into actionable technical strategies and measurable outcomes.
You will coordinate multiple Agile teams, align engineering and business stakeholders, and ensure successful delivery across complex, multi-workstream initiatives. Working closely with client executives and technical leaders, you will influence architectural decisions, manage risks, and navigate competing priorities while maintaining delivery quality and momentum. You will also play a central role in integrating AI-driven solutions into enterprise operations, establishing standards for responsible development, evaluation, and deployment.
This position offers significant ownership, strategic influence, and the opportunity to shape innovative delivery practices alongside highly experienced, distributed engineering teams.
- Lead the end-to-end delivery of large-scale enterprise AI, digital, and cloud transformation programs, including engagements valued at $10 million or more, from initial strategy and roadmap development through implementation, launch, and measurable business outcomes.
- Break down complex programs into manageable work streams, establishing clear responsibilities, delivery milestones, sequencing, dependencies, and accountability across teams.
- Coordinate multiple concurrent Agile teams, including engineering, product management, Scrum Masters, and delivery leaders, ensuring alignment around an integrated program plan.
- Establish program-level governance frameworks, performance indicators, and reporting processes to monitor scope, timelines, budgets, quality, risks, and overall delivery health.
- Translate business objectives and customer requirements into technical specifications, functional requirements, and actionable engineering priorities, ensuring every technical decision supports a defined business outcome.
- Facilitate architecture and engineering discussions, collaborating with technical leads to guide solution design and maintain a strong understanding of frontend, backend, and cloud-native technologies.
- Break down complex technical challenges into practical solutions and deliverable initiatives, helping teams make informed decisions and maintain implementation momentum.
- Own the AI Development Life Cycle (AIDLC) at the program level, establishing consistent delivery standards and ensuring Senior Delivery Managers apply these practices across individual work streams.
- Define program-wide quality standards for AI-driven and probabilistic features, including evaluation thresholds, human-in-the-loop validation checkpoints, post-launch monitoring, and performance expectations.
- Partner with AI engineering leaders to assess model risks, data readiness, evaluation strategies, and observability requirements, translating technical uncertainties into actionable plans and risk management frameworks.
- Establish success metrics for AI-augmented delivery, measuring quality, development velocity, rework, review requirements, and overall operational effectiveness.
- Evaluate when agentic AI approaches are appropriate for client needs, considering technical feasibility, context management, latency, infrastructure requirements, and cost implications.
- Integrate AI tools into everyday program management activities, including planning, specifications, reporting, documentation, and stakeholder communication, while encouraging adoption across delivery teams.
- Act as a senior strategic partner to client executives, building trusted relationships through transparent communication, consistent delivery, and a clear understanding of business priorities.
- Anticipate delivery bottlenecks, manage escalations, resolve stakeholder misalignment, and facilitate decisions when business objectives, technical constraints, timelines, and resources compete.
- Communicate program progress, delivery schedules, risks, and business impact to senior stakeholders, ensuring visibility into both execution and realized value.
- Collaborate with Client Partners to identify follow-on projects, expansion…
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