Technical Program Manager

What's the opportunity?

We are seeking an experienced Technical Program Manager (TPM) to lead and coordinate our programs inside Applied AI. 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. You can find out more about our research areas at rbcborealis.com. Your responsibilities include:

Program & Project Management

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

Stakeholder Engagement & Coordination

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

Executive Communication & Reporting

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

AI Lifecycle Support

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

You're our ideal candidate if you have:

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 Preferred Qualifications:

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 What's in it for you?

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. About RBC Borealis

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. 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 accommodations during the application process are available upon request. 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. #TECHPJ #Ll-POST Job Skills

Adaptability Budgeting Business Oriented Decision Making Long Term Planning Program Management Resource Management Results-Oriented Team Management Time Management Additional Job Details

Address: 777 BAY ST, TH 27: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: 2026-07-15 Application Deadline: 2026-08-14 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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