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 optimisation, and generative AI applications. The role requires a strategic leader who can blend technical depth with program execution excellence to drive delivery at scale.ResponsibilitiesAs 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 the enterprise. The role will ensure initiatives are delivered on time, within budget and aligned with business objectives while managing dependencies across research, engineering, platform and business stakeholders.Strategic Program Leadership:Lead the execution of the AI Group’s most strategic and complex programmes, ensuring alignment with the $1 billion AI ambition and organisational goals.Partner with VP, Solutions Engineering & Delivery and senior AI Group leadership to translate strategic priorities into actionable programme plans with clear roadmaps, milestones and deliverables.Oversee multiple large‑scale AI delivery programmes simultaneously, managing inter‑dependencies across ATOM Engineering, AI Solutions Engineering, platform teams and business lines.Work with senior leadership to define business cases, programme objectives, scope, timelines and budgets for major AI initiatives.Translate programme vision into detailed execution plans with associated financial targets, delivery design and measurable key performance indicators.Program Management Excellence & Delivery Operations:Establish and mature programme‑management practices across the AI Solutions organisation, creating standardised processes, methodologies and tools.Drive continuous improvement by identifying opportunities for process optimisation and implementing best practices to enhance delivery effectiveness.Manage and facilitate the execution of scaled Agile delivery, including dependencies across programmes and initiatives, technology prioritisation, resource planning and platform capabilities.Leverage OKRs and KPIs to track programme health, delivery velocity and business outcomes, establishing data‑driven decision‑making practices.Provide executive‑level reporting for steering committees and senior stakeholders with timely updates on programme status, risks and mitigation strategies.Technical Leadership & Engineering Collaboration:Apply technical expertise to understand AI solution architectures,



platform dependencies and engineering constraints that impact programme 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 programme teams, technology partners and senior leadership to drive alignment and remove blockers.Partner with AI Governance, Model Risk and compliance teams to ensure 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 programme mindset, shared ownership and user‑centric delivery practices across delivery teams.Team Leadership & Capability Building:Build and lead a high‑performing team of programme managers and delivery leads responsible for executing AI solution programmes.Foster a culture of ownership, innovation, accountability and continuous learning within the delivery team.Mentor and develop programme‑management talent, creating career pathways and building organisational capability.Empower delivery teams with the tools, processes and support needed to succeed in a quick‑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 programme 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 programme budgets and financial planning in collaboration with finance and business‑management teams.Optimise resource allocation across programmes, balancing capacity, skills and priorities to maximise delivery throughput.Track programme spend, forecast future needs and ensure cost efficiency across the AI solutions delivery portfolio.Must Have12+ years of experience in technology delivery with a strong technical foundation (software engineering, platform engineering or infrastructure engineering preferred).7+ years in programme management, delivery leadership or technical leadership roles managing large‑scale, complex technology programmes.Deep technical understanding of software delivery, platform engineering, cloud architectures and modern engineering practices.Proven track record delivering complex AI, ML, data or platform programmes in production environments, preferably in financial services or regulated industries.Demonstrated ability to lead and influence technical teams while driving programme execution and accountability.Strong understanding of AI/ML solution delivery including model development, engineering, platform integration and production deployment.Experience establishing programme governance, delivery frameworks and operational excellence in fast‑paced, complex environments.Excellent stakeholder management skills with the 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 HaveBackground 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 organisational change in engineering organisations.Understanding of generative AI, foundation models, MLOps and AI solution delivery at enterprise scale.Experience managing programmes with budgets of $10 M+ 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 a related field is a plus.Track record of thought leadership through conference speaking, technical writing or community engagement.BenefitsStrategic impact: Drive the delivery of RBC’s most transformative AI programmes, directly contributing to the

📌 Senior Director, Program Delivery (Toronto)
🏢 Anonymous
📍 Toronto