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Senior Manager, NBA Measurement & Analytics

Job in Toronto, Ontario, C6A, Canada
Listing for: RBC
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

What is the opportunity?

Next Best Action (NBA) is a specialized group within RBC Personal Banking that combines data, marketing, advanced analytics & AI to bring hyper personalization to all RBC clients across all client touchpoints. By leveraging RBC’s large data scale, artificial intelligence (AI), privileged loyalty program and partnerships, NBA has the ambition to bring the best of RBC to help clients achieve their financial goals, tailoring the experience for each client such that the message is perfectly timed, presented in path and personalized for that specific client need.

Embedded across Lines of Business and aligned with marketing, digital, and product teams, NBA is critical to deepening client relationships, increasing engagement, and enhancing how we show up for clients daily.

NBA is foundational in RBC’s Personal Banking strategy to deliver more value for all Canadians through simpler experiences, more thoughtful recommendations, and more holistic support. The team directly contributes to RBC’s ambition to Win for Tomorrow by enabling hyper-personalized journeys that are scalable, measurable, and powered by leading-edge analytics and AI innovation.

We’re looking for a Senior Manager, NBA Measurement and Analytics to join the NBA group and contribute 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.

What will you do?
  • Design, execute, and evaluate enterprise‑level marketing experiments across channels and client segments.
  • Help develop data science strategy for the team to adopt and modernize the experimentation toolkits like causal modelling and treatment effect modelling.
  • Work close with Machine Learning & AI Research Team to develop and test the state‑of‑art deep learning models to revolutionize the marketing ecosystem.
  • Help build and evolve RBC’s experimentation framework to accelerate test‑and‑learn velocity, ensure statistical rigour, and scale best practices.
  • Develop the scalable data pipeline for analytical ready datasets to automate KPI calculations.
  • Translate complex test results into clear, actionable insights that influence strategy and campaign performance.
  • Partner across Lines of Business, Data & Analytics, Technology, Digital, and Marketing to embed experimentation into the end‑to‑end campaign lifecycle.
  • Present findings and recommendations to leadership to inform client engagement, personalization, and marketing strategies.
  • Maintain documentation, ensure data security compliance, and promote best practices within the organization.
What do you need to succeed? Must Have
  • An academic background in Data Science, Statistics, Mathematics, or a related field.
  • Knowledge of advanced testing methodologies (e.g., uplift modelling, Bayesian methods, contextual bandits, propensity score matching).
  • Advanced Knowledge in Statistics & Causal Inference (e.g. hypothesis testing, power analysis, ANOVA, variance reduction, sampling techniques)
  • Advanced Knowledge in marketing related machine learnings (e.g. classification, regression, ranking,)
  • Programming experience with large databases/datasets (using tools such as Python, PySpark & SQL, Github on version control).
  • 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
  • Experience with enterprise personalization, targeting, or decision‑making platforms
  • 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…

Position Requirements
10+ Years work experience
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