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Director, Measurement
2 weeks ago
Job Description
What's 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 every 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 Director, Measurement & Analytics to join the NBA group and lead enterprise experimentation and reporting efforts. In this role, you will oversee a team of high-performing analysts and partner across business, data, and enablement teams to design, execute, and evaluate experiments that optimize campaign performance and inform client engagement strategies. You'll 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 You Will Do
- Lead the design, execution, and evaluation of enterprise-level marketing experiments and reports across channels, lines of businesses, and client segments.
- Build and evolve RBC's experimentation framework to accelerate test-and-learn velocity, ensure statistical rigour, and scale best practices.
- Manage and mentor a high-performing team of marketing analysts
- 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
- Champion a test-and-learn culture across the Personal Banking organization
- Present findings and recommendations to senior leadership to inform client engagement, personalization, and marketing strategies
What You Need to Succeed?
Must Have
- An academic background in Computer Science, Statistics, Mathematics, or a related field, as well as an MBA or graduate-level education
- Familiarity with advanced testing methodologies (e.g., uplift modelling, Bayesian methods, contextual bandits)
- Proven leadership experience in marketing analytics, experimentation, or measurement roles, ideally within a large, data-driven organization
- Strong business acumen and understanding of enterprise OKRs and performance
- Strong expertise in designing and evaluating marketing experiments and interpreting results to drive business impact
- Experience working with cross-functional partners across data, marketing, product, and digital
- Exceptional communication and storytelling skills with the ability to distill complex insights for senior audiences
- Demonstrated success in building and leading high-performing teams and cultivating a learning-oriented culture
Nice to Have
- Experience with enterprise personalization, targeting, or decision-making platform
- 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
Job Skills
Artificial Intelligence (AI), Big Data Management, Cross-Functional Teamwork, Data Mining, Data Science, Decision Making, Experimentation, Machine Learning (ML), Marketing Analytics, Mathematics, Natural Language Processing (NLP), Next Best Action, Predictive Analytics, Python (Programming Language), Reporting and Analysis, Statistical Analysis, Statistics, Team Management
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:
PERSONAL & COMMERCIAL BANKING
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
Application Deadline:
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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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
