Technical Program Manager

Job Description

What's the opportunity? We’re looking for an experienced Technical Program Manager (TPM) who will provide project management support across our Commercial AI initiatives that Borealis is involved in. This is a unique opportunity to grow in the world of AI / GenAI Delivery and work with a team of passionate individuals committed to the mission of bringing AI to enterprise.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 :

Leverage program management tools and frameworks to drive results (e.g. JIRA, Confluence, Agile, etc.)

Formulating program plans / milestones that balance business needs, technical risks, poroduct performance, schedule constraints, costs and resource availability

Oversee the end-to-end delivery of Commercial Banking focused AI projects for clients from ideation to execution, while ensuring adherence to timelines, budget and quality standards

Collaborate with cross-functional client teams to manage AI projects through all stages, including performance monitoring, optimization and ongoing product versions

Translate data into compelling narratives and insights for executive audiences to secure leadership support

You're our ideal candidate if you have : Technical AI / ML Knowledge Requirements

AI / GenAI Fundamentals : Understanding of artificial intelligence and generative AI concepts, applications, and industry trends

Machine Learning : General knowledge of ML methodologies including reinforcement learning, unsupervised learning, and computer vision

Research & Development : Experience working with technical / research teams and translating research into commercial applications

Project Management Core Competencies

Agile Methodologies : Proficiency in Scrum, Kanban, and other agile frameworks

Sprint Planning : Experience planning, executing, and managing sprint cycles

Project Management Tools :

JIRA for issue tracking and project management

Confluence for documentation and knowledge management

Additional PM tools (Microsoft Project, Asana, Monday.com, etc.)

Cross-functional Leadership : Ability to manage complex, multi-disciplinary projects across technical teams

Program Management Skills

Commercial AI Delivery : Experience delivering AI solutions in enterprise environments

Stakeholder Management : Strong communication skills for technical and business stakeholders

Risk Management : Identifying, assessing, and mitigating project risks in AI initiatives

Resource Coordination : Managing computational resources, datasets, and team capacity

Professional Qualifications

Education : Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred)

Experience : 5+ years in technical program management, preferably in AI / ML or technology sectors

Certifications : PMP, Scrum Master, or equivalent project management certifications

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.