Senior Director, Program Delivery - AI

About the role

RBC's AI Group is scaling to deliver its $1 billion AI ambition across credit, fraud detection, market intelligence, pricing optimization and generative AI. Reporting to the VP, Solutions Engineering & Delivery, the Senior Director, Program Delivery leads the strategic planning, execution and governance of large-scale AI delivery programs across RBC's enterprise. The role sits within RBC Borealis AI and manages dependencies across research teams, engineering teams, platform groups and business stakeholders.

Key responsibilities

• Lead the execution of the AI Group's most strategic programs, partnering with senior leadership to turn priorities into roadmaps, milestones and deliverables.
• Manage multiple large-scale AI programs, defining business cases, scope, timelines, budgets and financial targets.
• Establish program management practices, standardised processes and tools, and run scaled Agile delivery with resource planning and technology prioritisation.
• Use OKRs and KPIs to track program health and delivery velocity, and report to Executive Steering Committees.
• Partner with engineering leaders to balance technical quality with delivery timelines, and set technical governance for quality, scalability and reliability.
• Work with AI Governance, Model Risk and compliance teams to meet regulatory and ethical AI standards.
• Build and lead a team of program managers and delivery leads, mentoring talent and championing change management.
• Manage program risks, issues, budgets and resource allocation.

Required profile

• 12+ years of technology delivery experience; 7+ years in program management, delivery or technical leadership of large-scale programs.
• Proven track record delivering complex AI, ML, data or platform programs in production, preferably in financial services or regulated industries.
• Strong stakeholder management and influence with senior executives and technical leaders.
• Nice to have: PMP, Agile, SAFe or Scrum Master certification; experience leading platform engineering teams; budgets of $10M+ and teams of 50+ people.

Required skills

• Deep understanding of software delivery, platform engineering, cloud architectures and modern engineering practices.
• Understanding of AI/ML solution delivery, including model development, engineering, platform integration and production deployment.
• Data-driven decision-making with OKRs, KPIs and metrics.

What we offer

• Total rewards program with competitive compensation, bonuses, flexible benefits and stock options.
• Talent development through coaching, mentorship and expanded delivery expertise.
• A dynamic, high-performing team and growing scope as the AI portfolio scales.