Job Description

What is the opportunity?

As a Director, GenAI & Data Engineering, you will be responsible for

leading a team of ML and Data engineers to build, enhance and maintain new and existing enterprise-wide production GenAI and Agentic AI Applications for the Global Functions Team in RBC

. The application domain ranges from Global Risk Management (GRM), Compliance, Global Reconciliation Services (GRS), HR, Finance etc.


This is a key role in our organization, and you will provide strategic leadership and direction to drive the effectiveness of the ML and Data Engineering team, enabling them to deliver high-value business outcomes through the application of AI.

What will you do?

Drive Innovation and New Application Development:

Lead the ideation, technical validation, and

end-to-end development and enhancements of new and existing high-impact AI-powered Agentic AI applications that solve critical business problems.

Define and Execute AI/ML Strategy:

Develop and champion the strategic roadmap for integrating AI, Machine Learning, and Generative AI (GenAI) capabilities into core business applications, aligning technical initiatives with product roadmaps.

Lead by example

as a hands-on technical mentor, guiding teams through expertise and collaboration.

Leadership and Talent Development:

Hire, mentor, manage a multidisciplinary team of Data Scientists, Machine Learning Engineers, and Data Engineers, fostering a culture of technical excellence, experimentation, and accountability.

Enhance Existing Product Performance:

Collaborate closely with Enterprise Gateway teams to identify opportunities to enhance current applications (e.g., personalization, forecasting, search relevance) using advanced ML techniques, driving measurable improvements in user experience or operational efficiency.

Champion Technical Standards and Tooling:

Evaluate, select, and manage the technology stack, cloud resources, and tooling (e.g., specialized frameworks, compute infrastructure) necessary to support advanced AI/ML development and research at scale.

What do you need to succeed?

Must Have

Minimum 3-5+ years managing teams to deliver AI solutions Master's degree in computer science or a related technical field, or equivalent qualifications Deep familiarity with the AI & ML lifecycle and the ability to confidently guide architects and engineers on the right technical path. Proven experience across the entire research and development lifecycle, from concept prototyping to production-ready solutions, with a strong ability to engage with stakeholders to understand business needs and develop tailored solutions Ability to translate complex technical possibilities into clear, quantifiable business outcomes. An exceptional leader who can recruit, mentor, and retain top-tier Data Scientists and ML Engineers. Ability to collaborate with Product, Front End, Architecture and Compliance teams.

Nice to Have

Multi-Cloud Platform experience External technical thought leadership Experience in a Finance organization.

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 applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Work in a dynamic, collaborative, progressive, and high-performing team A world-class training program in financial services Opportunities to do challenging work Opportunities to take on progressively greater accountabilities Opportunities to building close relationships with clients Access to a variety of job opportunities across business and geographies.

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Job Skills

Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages, Relationship Building

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST 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:

2025-12-16

Application Deadline:

2026-01-05

Note

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

I

nclusion

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.