Principal Product Manager, AI Solutions at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

04 Sep, 26

Salary

0.0

Posted On

06 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AI/ML Product Development, Strategic Leadership, Stakeholder Management, Agile Methodologies, Product Roadmap Development, OKR Setting, Technical Architecture, Data-Driven Decision Making, Cross-functional Leadership, Market Opportunity Identification, System Evaluation

Industry

Financial Services

Description

Job Description Principal Product Manager, AI Solutions What's the opportunity? We are seeking a highly experienced Principal Product Manager to lead our work in the Home Equity Finance portfolio. In this role, you will be responsible for leading the roadmap and delivery of applied AI solutions to reimagine the mortgage journey. You will work at the intersection of AI and financial services, leveraging innovative technologies to create user-centric products. You’ll work with business partners, world-class research and engineering teams to discover and align on the optimal solution to transform the mortgage business here at RBC, and ensure our technical teams are laser-focused on producing solutions that drive transformational outcomes. RBC Borealis is at the forefront of artificial intelligence research and development, driving the innovative edge for the Royal Bank of Canada (RBC). Our team is dedicated to advancing the science of AI, delivering cutting-edge solutions that create substantial value for RBC and its customers. As part of RBC, you will have the opportunity to contribute to impactful projects within a leading financial institution, harnessing the power of AI to revolutionize the financial services industry. Your responsibilities include: Strategic Leadership: Develop product vision, positioning, value proposition that supports AI understanding, business prioritization, and adoption of solutions; Identify market opportunities and define the product roadmap, focusing on innovative solutions that leverage AI technologies to solve real-world problems; Set ambitious objectives and key results (OKRs) to measure product success and drive continuous improvement; Product Development: Lead the end-to-end product development process, from ideation to launch, ensuring timely and successful delivery of high-quality products; Work closely with AI researchers and engineers to translate complex technical concepts into products that drives business value and adoption; Implement agile methodologies to ensure flexibility, rapid iteration, and responsiveness to feedback; Stakeholder Management: Build and maintain strong relationships with key stakeholders across Borealis and RBC, fostering collaboration and alignment towards a shared vision; Influence and inspire cross-functional teams, including business owners, operations, legal, and compliance, to ensure seamless product execution; Communicate product vision, strategy, and progress effectively to senior leadership and other stakeholders, ensuring transparency and buy-in; Innovation and Entrepreneurship: Foster a culture of innovation within the product team, encouraging creative thinking and the exploration of new ideas; Stay abreast of industry trends and emerging technologies, identifying opportunities to integrate AI advancements into your strategy; Champion a test-and-learn approach, promoting experimentation and the use of data to drive decision-making. You're our ideal candidate if you have: 8+ years of product management experience in a top-tier technology company or large enterprise, with a focus on AI/ML-based products In-depth experience of a managing a product throughout its entire lifecycle within a large, matrixed enterprise Demonstrated ability to lead and influence cross-functional teams, fostering collaboration and driving alignment Exception communication, presentation, interpersonal skills Entrepreneurial mindset with a passion for innovation and a proactive approach to problem-solving Familiar with AI/ML concepts, data-driven mindset, familiar with system evaluation, monitoring and optimization Strong technical background with the ability to understand and discuss architectural concepts, trade-offs, and new opportunities with technical team members 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. #Ll-POST #TECHPJ Job Skills 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: 2026-06-05 Application Deadline: 2026-06-26 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Responsibilities

Lead the roadmap and delivery of applied AI solutions to transform the mortgage journey within the Home Equity Finance portfolio. Collaborate with AI researchers, engineers, and business partners to translate complex technical concepts into high-value products.