Delivery Lead

RBC•Toronto, ON

5d•Onsite

About The Position

RBC's AI Group is building reusable patterns to help teams across the organization design, build, and ship AI agents faster. We're seeking a Delivery Lead to drive the execution of these patterns, including agent identity, context abstraction, and a standardized data and analytics framework that feeds a central evaluation engine for agent reliability. This role also involves the roadmap to turn agent exhaust data into an analytics engine built for reuse, discoverability, and value generation across teams. This position combines delivery and program leadership with deep engagement across engineering and product stakeholders, for someone who wants to drive the delivery of tools that help AI builders across the organization move from idea to shipped agent faster.

Requirements

7+ years delivering technology solutions in software engineering, AI/ML, platform, or cloud-native environments
Experience running delivery operations across multiple concurrent workstreams simultaneously
Deep hands-on proficiency with delivery tooling (JIRA, dashboards, sprint analytics, automation)
Strong understanding of agile delivery (Scrum, Kanban, hybrid) with the judgment to adapt frameworks to context rather than enforce dogma
Proven ability to operate in technically complex domains without needing to be the engineer in the room
Experience in regulated industries (banking/financial services preferred) with comfort navigating governance and compliance
Strong instinct for risk identification and escalation management

Nice To Haves

Background in professional services, consulting delivery, or managed services models where squads form and dissolve per engagement
Experience with AI/ML or agentic AI solution delivery
PMP, SAFe, or Scrum Master certifications
Experience building delivery practices from scratch in a new or rapidly scaling team
Familiarity with pod-based engineering organizations and variable squad sizing models

Responsibilities

Develop and maintain roadmaps with clear milestones, deliverables, and timelines.
Translate strategic objectives into actionable, cross-team plans.
Identify, track, and escalate risks and issues with clear mitigation strategies and recommendations for decision-making.
Prepare accurate and timely status & roadmap reporting for VP-level forums, including financials, risks, dependencies, and outcomes.
Collaborate with cross-functional teams (engineering, product, data, cloud, AI) to ensure alignment.
Build stakeholder relationships to drive engagement and buy-in.
Optimize delivery processes, foster continuous improvement, and drive innovation.
Maintain portfolio-level delivery dashboards and metrics (velocity, cycle time, predictability, blocker resolution) to give leadership visibility and inform capacity/intake decisions.
Drive continuous improvement through retrospectives and process iteration, optimizing delivery cadence, standards, and tooling as the team scales.
Ensure delivery traceability from intake through close, balancing scope discipline against stakeholder pressure.