Job DescriptionWhat's the opportunity?We're looking for a product leader to own the roadmap for RBC's internal agentic AI platform end-to-end - from intake and prioritization through delivery and measurement. As Director, Product Strategy & Roadmap, you will decide what ships and when, ground those decisions in user value and adoption evidence, and own the product experience and analytics that make the platform usable and valuable at scale.
You will bring rigour to prioritization, fluency in agentic AI, and the credibility to partner with engineering on how the roadmap gets built - without owning the technical implementation.
Your responsibilities will include:- Roadmap ownership: Maintaining and communicating a rolling 12-month roadmap with clear, evidence-based prioritization rationale
- Stakeholder intake: Capturing, assessing, and prioritizing feature requests from business lines, users, and leadership against a consistent value bar
- User experience: Owning the end-to-end product experience across the platform - how users discover, adopt, build with, and get value from it - including the self-service builder, templates, and connector catalog as part of a coherent whole.
- Product analytics: Building and maintaining adoption dashboards, usage telemetry, and value-realization measurement to drive decisions
- Delivery partnership: Partnering with engineering on acceptance criteria, backlog, and delivery quality, staying engaged to protect the user outcome
- Responsible AI in practice: Embedding the safety, governance, and transparency standards set by the AI Group's Safety and Responsible AI function into the roadmap and release gates
- Market awareness: Conducting competitive and market analysis to inform platform direction
You're our ideal candidate if you:- Have 8+ years of product management experience, including 3+ in AI/ML products or enterprise platforms
- Have a strong product-experience and design sensibility - able to shape how users discover, adopt, and succeed with a product, not only what features it has.
- Have a deep working understanding of agentic AI: LLMs, tool-use, MCP connectors, RAG, and multi-agent orchestration
- Have owned and delivered a product roadmap with measurable adoption outcomes
- Are strongly analytical - able to define and track adoption metrics, build dashboards, and interpret telemetry
- Have the technical fluency to partner with engineers on architecture decisions without writing code
- Have agile delivery expertise: backlog grooming and acceptance-criteria definition
- Have financial services awareness, or the ability to develop it quickly - understanding banking end-users (advisors, analysts, operations staff) and their workflow needs
Nice to have:- Bachelor's or Master's in Computer Science, Engineering, Business, HCI, or a related discipline
- Product management certification (AIPM, Pragmatic Institute, CSPO, or SAFe)
- Experience building developer platforms, APIs, or self-service builder tools
- Familiarity with AI governance frameworks (NIST AI RMF, OSFI E-23, or equivalent)
- Experience with prompt engineering, model evaluation, or fine-tuning in production
- Background at a fintech, regtech, or major bank digital team
What's in it for you:- Drive AI transformation at one of Canada's largest and most respected financial institutions, with exposure to senior leadership across RBC
- Be part of a newly formed, high-impact function within RBC's AI Group alongside experienced transformation leaders
- 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.
Job SkillsBig Data Analytics, Client Counseling, Coaching Others, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Results-Oriented, Software Engineering, Software Product Design
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:TECHNOLOGY AND OPERATIONS
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-08-18
Application Deadline:2026-09-10
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.
