Director, Operational Analytics, Personal and Commercial Operations

RBC; Toronto; On-site; CAD 95,000 - 140,000; Full time

Job summary

A leading company seeks a Director of Operational Analytics to drive efficiency and effectiveness in banking operations. The role involves leading a team to transform operational data into actionable insights, optimizing processes, and collaborating with cross-functional teams across the organization.

Benefits

World-class sales and senior leadership training

Comprehensive Total Rewards Program

Focus on work-life balance

Personal and professional growth opportunities

Qualifications

• 5+ years of experience in operational analytics or business analytics.
• Proven leadership skills with analytics teams.
• Experience with big data platforms and cloud analytics.

Responsibilities

• Lead and mentor a team of operational analytics professionals.
• Design and implement advanced analytics and reporting solutions.
• Communicate complex findings to non-technical stakeholders.

Skills

Analytical Skills

Leadership

Data Visualization

Communication

Project Management

Education

Bachelor’s or advanced degree in Data Science, Business Analytics, Operations Research

Tools

SQL

Python

Tableau

Hadoop

Spark

AWS

Snowflake

Job description

Job Summary

Job Description

What is the Opportunity?
As the Director of Operational Analytics for Personal and Commercial Operations (PCO), you will play a pivotal role in transforming operational data into actionable insights that drive efficiency, effectiveness and innovation across our banking operations. You will lead a team of analysts and data professionals focused on operational performance, process optimization, and strategic reporting. You will collaborate closely with business leaders and cross-functional teams to deliver impactful analytics solutions that shape the future of banking operations.

What Will You Do?

• Lead and mentor a team of operational analytics professionals to deliver high-impact insights and recommendations that improve business processes and operational outcomes.
• Design, develop, and implement advanced analytics, dashboards, and reporting solutions to monitor and optimize operational performance.
• Partner with business stakeholders, IT, and data science teams to identify opportunities for process improvement and automation.
• Promote a data-driven culture by championing the use of analytics in daily decision-making and operational strategy.
• Stay current with emerging trends and best practices in operational analytics, process mining, and business intelligence.
• Effectively communicate complex analytical findings to non-technical stakeholders, providing actionable recommendations that drive operational excellence.

What You Need to Succeed?

Must have

• 5+ years of experience in operational analytics, business analytics, or related fields
• Proven leadership skills, experience leading analytics teams and delivering operational insights that drive measurable business impact
• Experience with big data platforms (e.g., Hadoop, Spark) and cloud analytics solutions (AWS, Snowflake)
• Bachelor’s or advanced degree in Data Science, Business Analytics, Operations Research, or a related quantitative field
• Strong proficiency with analytics and data visualization tools, including SQL, Python and Tableau
• Professional oral and written communication skills, with the ability to influence and collaborate across all levels of the organization

Nice to have

• Experience working in a financial institution

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.

• World-class sales and senior leadership training with countless development opportunities
• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• A focus on work-life balance
• A unique opportunity for personal and professional growth
• Work in a dynamic, collaborative, progressive, and high-performing team

Job Skills

Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis

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:

2025-06-26

Application Deadline:

2025-07-10

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

Inclusion 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.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

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.