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RBC

Senior Director, Program Delivery

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Oct 16, 2026
Posting language: English
Posted: Sep 25, 2026

Original job description

Job Description

What is the opportunity?

RBC's AI Group is scaling rapidly to deliver on our $1 billion AI ambition, deploying transformative AI solutions across credit, fraud detection, market intelligence, pricing optimization, and generative AI applications. As the AI Solutions portfolio expands across multiple lines of business, we need a strategic leader who can blend technical depth with program execution excellence to drive delivery at scale.

As a member of RBC Borealis AI, reporting to the VP, Solutions Engineering & Delivery, the Senior Director, Program Delivery will lead the strategic planning, execution, and governance of large-scale AI solution delivery programs across RBC's enterprise. You'll bring both technical credibility and program management expertise to ensure AI initiatives are delivered on time, within budget, and aligned with business objectives while managing dependencies across research teams, engineering teams, platform groups, and business stakeholders.

This is a unique opportunity to shape how RBC delivers AI at scale. You'll establish program delivery excellence across the AI Group, build governance frameworks, and drive a culture of ownership and continuous improvement. Your combination of technical understanding and delivery leadership will enable RBC to accelerate AI adoption and deliver measurable business value across the organization.

What will you do?

Strategic Program Leadership:

Lead the execution of the AI Group's most strategic and complex programs, ensuring alignment with RBC's $1 billion AI ambition and organizational goals.
Partner with VP, Solutions Engineering & Delivery and senior AI Group leadership to translate strategic priorities into actionable program plans with clear roadmaps, milestones, and deliverables.
Oversee multiple large-scale AI delivery programs simultaneously, managing interdependencies across ATOM Engineering, AI Solutions Engineering, platform teams, and business lines.
Work with senior leadership to define business cases, program objectives, scope, timelines, and budgets for major AI initiatives.
Translate program vision into detailed execution plans with associated financial targets, delivery design, and measurable key performance indicators.

Program Management Excellence & Delivery Operations:

Establish and mature program management practices across the AI Solutions organization, creating standardized processes, methodologies, and tools.
Drive continuous improvement by identifying opportunities for process optimization and implementing best practices to enhance delivery effectiveness.
Manage and facilitate the execution of scaled Agile delivery including dependencies across programs and initiatives, technology prioritization, resource planning, and platform capabilities.
Leverage OKRs and KPIs to track program health, delivery velocity, and business outcomes, establishing data-driven decision-making practices.
Provide executive-level reporting for Executive Steering Committees and senior stakeholders with timely updates on program status, risks, and mitigation strategies.

Technical Leadership & Engineering Collaboration:

Apply technical expertise to understand AI solution architectures, platform dependencies, and engineering constraints that impact program delivery.
Partner closely with engineering leaders (ATOM Engineering, AI Solutions Engineering, Platform teams) to balance technical excellence with delivery timelines.
Navigate complex technical trade-offs and help teams make informed decisions on architecture, tooling, and delivery approaches.
Establish technical governance processes that ensure quality, scalability, and reliability without compromising delivery speed.
Serve as a credible technical voice in stakeholder discussions, translating technical concepts for business audiences and business needs for technical teams.

Cross-Functional Collaboration & Stakeholder Management:

Build strong relationships with key stakeholders across AI Research, Applied AI, platform teams (Lumina, AI Architecture), business line CIOs, and enterprise partners.
Facilitate effective communication and collaboration among program teams, technology partners, and senior leadership to drive alignment and remove blockers.
Partner with AI Governance, Model Risk, and compliance teams to ensure program deliverables meet regulatory and ethical AI standards.
Collaborate with business line leaders to understand requirements, manage expectations, and ensure AI solutions deliver measurable business value.
Drive cultural transformation by fostering a program mindset, shared ownership, and user-centric delivery practices across delivery teams.

Team Leadership & Capability Building:

Build and lead a high-performing team of program managers and delivery leads responsible for executing AI solution programs.
Foster a culture of ownership, innovation, accountability, and continuous learning within the delivery team.
Mentor and develop program management talent, creating career pathways and building organizational capability.
Empower delivery teams with the tools, processes, and support needed to succeed in a fast-paced, complex delivery environment.
Champion strategic storytelling and change management to drive adoption of new delivery practices and cultural mindsets.

Risk, Financial & Resource Management:

Identify, assess, and proactively mitigate program risks, developing contingency plans and ensuring effective risk management across the portfolio.
Drive issue resolution and escalation management, ensuring obstacles are addressed quickly and effectively.
Manage program budgets and financial planning in collaboration with finance and business management teams.
Optimize resource allocation across programs, balancing capacity, skills, and priorities to maximize delivery throughput.
Track program spend, forecast future needs, and ensure cost efficiency across the AI solutions delivery portfolio.

What do you need to succeed?

Must Have:

12+ years of experience in technology delivery with a strong technical foundation (software engineering, platform engineering, or infrastructure engineering background preferred).
7+ years in program management, delivery leadership, or technical leadership roles managing large-scale, complex technology programs.
Deep technical understanding of software delivery, platform engineering, cloud architectures, and modern engineering practices.
Proven track record delivering complex AI, ML, data, or platform programs in production environments, preferably in financial services or regulated industries.
Demonstrated ability to lead and influence technical teams while driving program execution and accountability.
Strong understanding of AI/ML solution delivery including model development, engineering, platform integration, and production deployment.
Experience establishing program governance, delivery frameworks, and operational excellence in fast-paced, complex environments.
Excellent stakeholder management skills with ability to influence senior executives, technical leaders, and business partners.
Strong analytical and data-driven decision-making skills with experience using OKRs, KPIs, and metrics to drive delivery outcomes.

Nice to Have:

Background as a software engineer, platform engineer, or distinguished engineer who transitioned into delivery leadership.
Experience leading platform engineering teams or building platform-as-a-product capabilities.
Project Management Professional (PMP), Agile, SAFe, or Scrum Master certifications.
Experience driving cultural transformation and organizational change in engineering organizations.
Understanding of generative AI, foundation models, MLOps, and AI solution delivery at enterprise scale.
Experience managing programs with budgets of $10M+ and cross-functional teams of 50+ people across multiple workstreams.
Familiarity with digital banking platforms, online/mobile systems, or customer-facing technology delivery.
Computer Science degree or equivalent technical background; Master's degree in technology management or related field is a plus.
Track record of thought leadership through conference speaking, technical writing, or community engagement.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

Strategic impact: Drive the delivery of RBC's most transformative AI programs, directly contributing to the bank's $1 billion AI ambition.
Leadership opportunity: As a member of RBC Borealis AI, build and lead a program delivery team while shaping AI delivery practices and standards across the organization.
Technical and strategic blend: Leverage your engineering background while driving organizational delivery excellence.
Diverse and complex portfolio: Manage cutting-edge AI initiatives spanning ATOM deployment, generative AI, fraud detection, credit optimization, and more.
Cross-functional influence: Partner with leading AI researchers, engineers, platform teams, and business leaders across RBC.
Comprehensive Total Rewards Program including competitive compensation, bonuses, flexible benefits, and stock options.
Talent development: Leaders who support your growth through coaching, mentorship, and opportunities to expand your delivery expertise.
Dynamic, high-performing team: Work alongside some of the brightest minds in AI, technology, and financial services.
Opportunities for progressively greater impact: As RBC's AI portfolio scales, so will your scope, influence, and career opportunities.

#TechPJ

Job Skills

Adaptability, Budgeting, Cross-Team Collaboration, Decision Making, Information Technology (IT) Projects, Long Term Planning, Program Management, Resource Management, Team Management, Vision Alignment

Additional Job Details

Address:

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:

2026-05-24

Application Deadline:

2026-10-16

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

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.

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More about this job

Responsibilities

The Senior Director will lead the strategic planning, execution, and governance of large-scale AI solution delivery programs across the enterprise. They will manage cross-functional teams, establish delivery standards, and ensure AI initiatives align with business objectives and financial targets.

Requirements

Candidates must have 12+ years of experience in technology delivery and 7+ years in program management or leadership roles. A strong technical foundation in software or platform engineering and a proven track record of delivering complex AI/ML programs in regulated environments are required.

Skills

Program management
Strategic planning
AI solution delivery
Stakeholder management
Engineering leadership
Financial management
Risk management
Agile methodology
Data-driven decision making
Cloud architecture
Machine learning
Governance frameworks
Team leadership
Change management
Resource allocation
Technical architecture

Benefits

Competitive compensation
Bonuses
Flexible benefits
Stock options
Talent development
Coaching and mentorship

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Program Management
Software Engineering
Platform Engineering
Cloud Architecture
Financial Services
Governance
Agile
SAFe
Scrum
Generative AI
MLOps
OKRs
KPIs
Budgeting
Risk Management
Digital Banking
Strategic Leadership
Data Analytics

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