Director, Advanced Analytics & AI

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you'll be doing

Enterprise Analytics is a high-impact team that helps shape business strategy through data, advanced analytics, and artificial intelligence (AI). As a Director, Data Science, you'll build strong relationships with stakeholders, understand strategic priorities, and recommend sophisticated models and AI solutions that support business goals, with a focus on Wealth and Fraud. You'll lead, manage, and mentor a team of junior and senior data scientists while taking a hands-on approach to solving complex problems. In this senior leadership role, you'll help plan and manage change across client-facing analytics and AI initiatives, ensuring solutions are practical, scalable, and aligned to business needs. You'll also act as a trusted partner to leaders across the bank, helping connect analytical insights to meaningful business outcomes.

At CIBC we enable the work environment most optimal for you to thrive in your role. You'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 1-3 days per week on-site, while other days will be remote.

How you'll succeed

• Business partnership - Build strong relationships with business leaders across CIBC to understand priorities, identify opportunities, and apply advanced analytics to solve complex business problems.
• Analytics leadership - Lead and deliver key analytical initiatives across multiple lines of business, ensuring work is aligned to strategic goals and delivers measurable value.
• Model development and oversight - Oversee the design, validation, implementation, and evaluation of statistical and machine learning models that address complex business challenges and large data sets.
• Insight generation - Work closely with subject matter experts to understand business context, assess data sources, guide data transformation activities, and develop features that improve model performance.
• Execution and sustainment - See analytics work through to completion by supporting deployment, handoff, and ongoing model refreshes or enhancements as business needs evolve.
• Team and storytelling leadership - Mentor data scientists on modelling, coding, and best practices, while helping teams translate analytical findings into clear, compelling business stories and executive presentations.

Who you are

• You can demonstrate experience in decision science, data science, advanced modelling, and analytical techniques. It's an asset if you bring experience supporting Wealth, Fraud, or other complex financial services use cases.
• You have strong technical expertise. You bring extensive hands-on experience with modern data science and machine learning tools including Python, pandas, scikit-learn, XGBoost, TensorFlow, PyTorch, and SQL. You also have strong coding skills, knowledge of DevOps tools, and experience with one or more cloud platforms.
• You have a graduate degree in mathematics, computer science, electrical and computer engineering, or a related quantitative field. A master's degree or doctorate is strongly preferred.
• You are a caring and accountable leader. You have experience developing and implementing strategic team goals. You have experience coaching employees and inspiring successful team performance.
• You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
• You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
• Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

• We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

• We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

• CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

• You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

• We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

• We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

81 Bay Street, Banking Centre

Employment Type

Regular

Weekly Hours

37.5

Skills

Advanced Analytics, Analytics Strategy, Business Analytics, Data Science, Machine Learning (ML), People Management