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A leading banking institution in Toronto is seeking a Sr. Manager for Business Intelligence. This role involves analyzing and visualizing data to prevent financial crimes and enhance decision-making processes. Candidates should possess 7+ years of experience in data analysis, along with strong skills in SQL and data visualization. This position offers a competitive salary range of $86,000 to $160,000 and the opportunity for hybrid work.
Application Deadline: 10/30/2025
Address: 100 King Street West
Job Family Group: Data Analytics & Reporting
As a Sr. Manager, Business Intelligence in the Financial Crimes Unit, you’ll do more than analyze data — you’ll help protect our customers, strengthen trust, and shape the future of financial crime prevention. This is your chance to bring innovation, storytelling, and technical expertise together to create powerful insights that drive smarter, faster, and more proactive decisions.
You will elevate how we use data to identify, visualize, and communicate financial crimes risks. You will play a key role in business intelligence and providing thoughtful analysis as well as lead the design and delivery of storyboards and visualization that provide insights to manage risks. You will help the Financial Crimes Unit make smarter and faster prevention and detection decisions while enabling the business to grow.
In this role, you won’t just be interpreting data — you’ll be shaping how we prevent crime, detect risk, and protect our customers and institution. You will play a role in transforming our analytics ecosystem, designing strategies and solutions that empower smarter, faster, and more proactive decisions.
It’s a chance to be at the forefront of how data drives security, strategy, and growth.
Note: This is an Individual Contributor role; this is not a people-leader role. There are no direct reports.
On this team, you will:
This isn’t just another analytics role — it’s a chance to shape the analytics ecosystem of the future, work alongside top innovators in financial crime prevention, and use your skills to make an impact that truly matters.
Hybrid role.
Intermediate level of proficiency:
Advanced level of proficiency:
7+ years of experience within Data Analysis and Business Intelligence; strong collaboration with business stakeholders; 5+ years of SQL and/or SAS; knowledge in Python or similar data science languages is a plus; experience with data management, analytics techniques, data flows, systems, and designs.
Salary: 86,000.00 - 160,000.00 USD (Salaried)
Pay Type: Salaried
Notes: Salaries vary by location, skills, experience, education, and qualifications. Total compensation may include performance-based incentives and other perks. Benefits described by the company include health insurance, tuition reimbursement, life and disability insurance, and retirement savings plans.
To view more details of our Total Rewards, please visit: jobs.bmo.com/global/Total-Rewards
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. We create lasting, positive change for customers, communities and people. We value collaboration, training, and growth opportunities for our team members.
BMO is committed to an inclusive, equitable and accessible workplace. Accommodations are available on request for candidates taking part in selection. To request accommodation, please contact your recruiter.