Senior Delivery Manager

Role overview Own delivery of complex, multi-phase client engagements from kickoff through release, aligning distributed cross-functional teams around scope, budget, timeline, and quality. You’ll also help establish how AI-augmented delivery is planned, measured, and governed, while serving as a trusted partner to clients and coaching other delivery managers.

Responsibilities - Lead delivery planning and execution, including sprint planning, backlog refinement, release readiness, and transitions into ongoing operations. - Track delivery health and KPIs; surface dependencies, risks, scope changes, and escalations early, and guide trade-offs across time, budget, and scope. - Support QA and user acceptance work to confirm deliverables meet agreed acceptance criteria. - Apply AI tools to planning, reporting, and stakeholder communication, and help teams adopt a repeatable AI development lifecycle. - Set measures for AI-supported delivery, such as quality, rework, review effort, and pace; make AI pipeline status visible and address operational risks with engineering partners. - Coach delivery managers and work with client and technical leaders to assess when agent-based approaches fit the need, including relevant context, latency, and infrastructure considerations.

Requirements The available source does not include a complete formal requirements section. It describes a senior delivery leader who can own client commitments, lead distributed teams, manage complex trade-offs, communicate candidly, and stay curious as AI practices change. The role also calls for enough understanding of AI systems and observability to identify risks and work credibly with product and engineering specialists.

Benefits and work setup The source lists a salary range of CAD $170,000–$220,000 and, for eligible employees, paid time off, medical, dental, and vision coverage, and a retirement plan.