Technical Program Manager, Credit & Fraud AI Solutions

RBC • Vancouver, BC

21d • Onsite

About The Position

We are seeking an experienced Technical Program Manager (TPM) to lead and coordinate our portfolio of Credit and Fraud AI solutions. In this role, you will serve as the central point of coordination across research and development, engineering and production, business partners, and platform teams, ensuring our AI initiatives move from concept to deployment seamlessly and on schedule. This is a high-visibility role requiring exceptional organizational skills, strong communication abilities, and the capacity to navigate complex, cross-functional environments. At RBC Borealis, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Requirements

• Bachelor’s degree in computer science, engineering, business, or related field
• 5+ years in technical program or project management, preferably in technology or data-driven environments
• Strong foundation in project management fundamentals and methodologies
• Proficiency with Jira for project tracking, workflow management, and reporting
• Excellent written and verbal communication skills; ability to translate technical concepts for non-technical audiences
• Proven ability to manage relationships and drive alignment across diverse, cross-functional teams
• Experience in financial services or other regulated industries preferred

Nice To Haves

• Understanding of AI/ML development lifecycle (experimentation, training, deployment, monitoring)
• Experience with credit risk modeling or fraud detection solutions
• Familiarity with Agile/Scrum methodologies and scaled Agile frameworks
• PMP, PgMP, CSM, or equivalent certification
• Experience with MLOps tools and practices

Responsibilities

• Own end-to-end program management for a portfolio of Credit and Fraud AI solutions
• Develop and maintain comprehensive roadmaps, milestones, and deliverables across multiple workstreams
• Identify, track, and mitigate risks, dependencies, and blockers proactively
• Manage project tracking, workflows, and reporting using Jira
• Ensure timely delivery against commitments while balancing scope, resources, and quality
• Gather and translate business requirements into actionable technical plans
• Serve as the primary liaison between: Research & Development teams (model development, experimentation), Engineering & Production teams (deployment, scaling, monitoring), Business Partners (Credit Risk, Fraud Operations), Platform Teams (infrastructure, MLOps, data engineering)
• Facilitate cross-functional alignment through regular syncs, planning sessions, and retrospectives
• Prepare clear, concise written updates and reports for senior leadership
• Lead presentations to executives on program status, risks, and strategic decisions
• Communicate progress, achievements, and challenges to stakeholders at all levels
• Support initiatives across the AI/ML lifecycle: research, development, validation, deployment, and monitoring
• Collaborate with teams to ensure production readiness and ongoing model performance
• Contribute to continuous improvement of AI delivery processes and best practices

Benefits

• Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees