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Canadian Imperial Bank of Commerce is seeking a Director of Data Science to lead analytics strategy for Wealth and Fraud, mentoring a team of data scientists and partnering with business leaders to deliver impactful AI solutions. The role combines hands-on modeling with high-level strategic guidance, in a hybrid work arrangement with 1–3 days on-site per week.
You will advance advanced analytics initiatives, oversee model development, and ensure insights translate into measurable business value
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
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.
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.
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:
*Subject to plan and program terms and conditions
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.
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
At CIBC, we’re in business to help our clients, employees and shareholders achieve what is important to them. Our ability to create value for all CIBC stakeholders is driven by a business culture based on common values: Trust, Teamwork and Accountability. Working with CIBC makes you a part of a work environment committed to our clients, employees and communities – a place where you can excel. Every day, our 48,000 employees help our clients achieve their financial goals, because what matters to our clients, matters to us.