The Manager, NBA Measurement and Analytics contributes to the enterprise experimentation efforts. In this role, you will design, execute, and evaluate experiments that optimize campaign performance and inform client engagement strategies. You’ll help drive a culture of experimentation that accelerates learning, sharpens decision-making, and advances RBC’s leadership in personalized marketing and financial advice. This is an opportunity to shape the future of client engagement at the #1 bank in Canada—named one of the world’s most AI-mature financial institutions—where bold thinking, innovation, and data-driven action create real value for clients and the communities we serve.

This role works in the office 4 days a week.

What will you do?

• Insights translation - Design, execute, and evaluate enterprise-level marketing experiments in personal banking across channels and client segments; translate complex test results into clear, actionable insights that influence strategy and campaign performance.

• Data science - Develop data science strategy for the team to adopt and modernize experimentation toolkits (causal modelling, treatment effect modelling); create scalable data pipelines for analytical-ready datasets to automate KPI calculations.

• Collaboration - Partner across Lines of Business, Data & Analytics, Technology, Digital, and Marketing to embed experimentation into the end-to-end campaign lifecycle; present findings to leadership and maintain documentation, Github repositories, data security compliance, and best practices.

What do you need to succeed?

Must Have:

• 2+ Years of Experience in Data Science and Analytics

• An advanced academic background in Data Science, Statistics, Mathematics, or a related field.

• Manage code version control, peer reviews, and collaboration workflows for all data infrastructure using GitHub.

• Knowledge of advanced testing methodologies (e.g., A/B testing. Bayesian methods, CMAB).

• Advance Knowledge in Statistics & Causal Inference (e.g. hypothesis testing, power analysis,  ANOVA, variance reduction, sampling techniques)

• Advance Knowledge in marketing related machine learnings (e.g. classification, regression, ranking, uplift)

• Programming experience with large databases/datasets (using tools such as Python, PySpark & SQL). 

• Experience in designing and evaluating marketing experiments and interpreting results to drive business impact.

• Business acumen and understanding of enterprise marketing strategy and Banking products.

Nice to Have:

• Design, build, and deploy robust data pipelines and directed acyclic graphs (DAGs) using Apache Airflow.

• An MBA in marketing is an asset.

• Experience in financial services, digital marketing, or large-scale client engagement programs

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.

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• Opportunities to do challenging work