Job Description & How to Apply Below
WHAT IS THE OPPORTUNITY? We're seeking an experienced AI & Data Technical Delivery Manager to drive the end-to-end delivery of transformative AI initiatives this role, you will lead a complex, high-impact portfolio while navigating intricate cross-functional dependencies, governance frameworks, and architecture decisions across multiple platforms. You will own delivery of sophisticated AI initiatives that drive measurable business impact, manage dependencies across engineering, product, and business teams, and establish governance standards that ensure scalability and consistency.
This is a strategic leadership position that requires strong technical acumen, the ability to manage ambiguity, and proven experience delivering complex projects in large organizations.
You'll communicate progress and trade-offs with executives and technical teams, identify and mitigate risks, and maintain momentum on critical timelines. We're looking for someone with demonstrated leadership in cross-functional environments, modern data and AI stack expertise, and exceptional communication and problem-solving skills.
Your responsibilities will include:
Lead end-to-end delivery of complex AI and Data platform initiatives, ensuring alignment with business objectives, manage priorities, timelines, and interdependencies across teams; identify and resolve risks, blockers, and track critical path items and resource constraint to maintain momentum
Drive Cross-Functional Alignment & Governance – Facilitate stakeholder coordination across engineering, product, and business, third-party vendors; communicate progress and trade-offs transparently to leadership and teams
Navigate ambiguity across technical delivery efforts, applying advanced problem-solving, strategic thinking, and sound judgment to drive progress.
Identify opportunities to leverage emerging technologies and innovative approaches to enhance delivery effectiveness and maintain competitive edge.
Mentor junior team members , fostering skill development and sharing best practices within the team.
You're our ideal candidate if you:
Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field.
5+ years of product management or delivery experience, with a focus on AI/ML-powered products from ideation through production and continuous iteration.
Strong and relevant experience in agile practices and tools such as Jira
Experience working with AI tools and concepts such as foundational models, AI agent development, agent harnesses, and context engineering
Demonstrated success leading cross-functional teams
Experience with Enterprise governance and large matrix organizations
Exceptional communication, presentation, and interpersonal skills, especially in managing senior stakeholders and delivering executive-level presentations.
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.
Inclusion and Equal Opportunity Employment RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodation during the application process are available upon request.
Job Skills Adaptability, Budgeting, Business Oriented, Communication, Decision Making, Long Term Planning, Prioritization, Problem…
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