Job Summary

Job Description

What is the opportunity?

Are you a talented, creative, and results-driven professional who thrives on developing cutting-edge data science platforms? Come join us!

Global Functions Technology (GFT) is part of RBC's Technology and Operations division. GFT's impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

We believe that innovation should drive all that we do, in challenging assumptions and being big and bold with our ideas. We support our people in developing the technical, business and professional skills needed to be successful. You will work with partners from across the company, participate in networking events, and have access to a wide variety of supports including mentorship. You will work directly with leaders who believe in celebrating successes and sharing learnings with other teams to promote progress.

This team is responsible for deploying enterprise-wide Data Science Capabilities including ML-Ops, Feature Store, and Data Quality/Lineage solutions that support our Retail Credit Risk, Climate Risk, and Data Intelligence initiatives.

What will you do?

As a Technical Product Manager on our team, you will:

Lead the development and execution of our ML-Ops, Feature Store, and Data Quality/Lineage platform strategyWork closely with Software & Data Engineering, Architecture, and Risk Modeling & Analytics teams to develop innovative data science solutionsTranslate technical constraints into clear product requirements and specificationsEvaluate technical debt and prioritize engineering work to ensure optimal platform performanceCreate detailed technical specifications and user stories with deep technical considerationsTake ownership of complex technical problems and develop creative solutions that balance business needs and technical constraintsMonitor competitive products and services to ensure our platforms remain industry-leadingDrive short and long-term vision for our data science platformsCollaborate with stakeholders across Risk, Finance, and other business units to understand requirements and deliver valueCommunicate complex technical challenges and solutions effectively to both technical and non-technical audiences

What do you need to succeed?

Must-have

Strong product management background with experience leading technical products that enable risk modelers, ML developers, and data engineers.Deep understanding of ML-Ops, feature stores, and data quality/lineage solutionsExperience working with data science teams and ML model development processesTechnical expertise in software engineering, architecture, and development processesAbility to construct short and long-term vision for technical productsExcellent familiarity with scalable system architecture and design principlesStrong data analysis skills with self-sufficiency in extracting and analyzing dataExceptional written and verbal communication skillsProven ability to navigate ambiguity and make informed trade-off decisionsStrong stakeholder management skills across technical and business functions

Nice-to-have

Technical or engineering degree, MBA or equivalent business educationExperience in financial services, particularly in risk managementKnowledge of credit risk or climate risk modelingExperience with agile development methodologiesUnderstanding of enterprise data governance and compliance

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high-performing teamA world-class training program in financial servicesOpportunities to do challenging work

#LI-Post

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Job Skills

Communication, Data Engineering, Data Science, Interpersonal Relationship Management, Machine Learning, Machine Learning Model Management, Machine Learning Techniques, Product Development Lifecycle, Product Management, Technical Product Management, Technical Specifications

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W: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:

2025-07-09

Application Deadline:

2025-07-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At 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.

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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.