Job DescriptionWhat is the opportunity?Join RBC as a Director to lead the Data Science team for the AI, Conversational Banking & Platforms team. This visionary role will drive transformational change across the distribution network through advanced analytics and innovative AI modeling solutions. Lead a high-performing team transforming rich data into AI capabilities while implementing solutions that enhance decision-making and client experience across RBC's distribution network.
What will you do? - Lead, mentor, and develop a high-performing team of data scientists and model developers, fostering professional growth and career advancement
- Oversee the full lifecycle of AI and machine learning model development, from experimentation and validation through production deployment and optimization
- Establish comprehensive frameworks to ensure data quality, accessibility, and governance across the distribution network
- Collaborate with peer leadership and business units to identify high-value data science opportunities aligned with strategic priorities
- Provide strategic recommendations on emerging technologies, vendor partnerships, and technology investments to maintain competitive advantage
- Partner with the AI Product team to translate business requirements into data science solutions that deliver measurable value
- Work across technology and data engineering teams to ensure scalable, reliable, and maintainable model deployment in production environments
- Cultivate an organizational culture that prioritizes innovation, cross-functional collaboration, and continuous learning
What do you need to succeed? Must Have - Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline
- 10+ years of progressive experience in data science, artificial intelligence, and/or advanced analytics
- Expertise in machine learning, deep learning, natural language processing, and AI techniques
- Demonstrated expertise leading high-performing technical teams while maintaining hands-on proficiency in analytics and modeling
- Deep understanding of data governance principles, model risk management frameworks, and regulatory compliance requirements
- Strong business acumen and ability to translate technical concepts into business value and strategic impact
Nice to Have - Advanced degree (Master's or PhD) in Computer Science, Statistics, Mathematics, or related field
- Track record of leading enterprise-wide digital transformation or data modernization initiatives
- Proven experience successfully developing, validating, and deploying machine learning models at scale in production environments
- Demonstrated knowledge of financial regulatory requirements and model governance standards
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 take on progressively greater accountabilities.
Job SkillsArtificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning (ML), Model Development, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis
Additional Job DetailsAddress:RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City:Toronto
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:PERSONAL & COMMERCIAL BANKING
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-06-12
Application Deadline:2026-06-30
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
