Job DescriptionWhat's the opportunity?RBC's AI Group is building the reusable patterns that help teams across the organization design, build, and ship AI agents faster. We're seeking a Delivery Lead to drive execution of these patterns agent identity, context abstraction, and a standardized data and analytics framework that feeds a central evaluation engine for agent reliability including the roadmap to turn agent exhaust data into an analytics engine built for reuse, discoverability, and value generation across teams. This role 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.
Your responsibilities will include:Delivery Operations & Execution- Develop and maintain roadmaps with clear milestones, deliverables, and timelines.
- Translate strategic objectives into actionable, cross-team plans.
- Risk & Issue Management: Identify, track, and escalate risks and issues with clear mitigation strategies and recommendations for decision-making.
- Governance & Reporting: 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.
You're our ideal candidate if you:Must Have:
- 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 Have:
- 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
What's in it for you?- Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
- Leaders who support your development through coaching and managing opportunities;
- Ability to make a difference and lasting impact from a local-to-global scale.
About the AI Group:RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery ensuring RBC remains at the frontier of AI-enabled value creation.
Job SkillsBusiness Oriented, Communication, Group Problem Solving, Long Term Planning, Meeting Management, Organizational Change Management, Resource Coordination, Results-Oriented, Time Management, Waterfall Model
Additional Job DetailsAddress:RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City:Toronto
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:Job Type:Regular
Pay Type:Salaried
Posted Date:2026-07-28
Application Deadline:2026-08-07
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
