CIBC

Director, Advanced Analytics & AI

CIBC$150K — $180K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in decision science and advanced modelling
  • Strong technical expertise in Python, SQL, and machine learning frameworks
  • Graduate degree in mathematics, computer science, or related quantitative field; master's or doctorate preferred
  • Proven leadership skills with experience in team development and strategic goal-setting
  • Track record of leveraging teamwork to achieve collective success
  • Eagerness to embrace evolving technologies and digital solutions
  • Alignment with organizational values of trust, teamwork, and accountability

Responsibilities

  • Build strong relationships with business leaders to address complex problems
  • Lead and deliver analytical initiatives that support strategic goals
  • Oversee the design and evaluation of statistical and machine learning models
  • Collaborate with experts to enhance model performance through data transformation
  • Support deployment and ongoing maintenance of analytics projects
  • Mentor team members on coding and analytics best practices
  • Translate analytical findings into clear business stories for stakeholders

Benefits

  • Recognition programs including personalized rewards and competitive salary
  • Access to modern workspaces and advanced technological tools
  • Opportunity for professional growth with initiatives like Purpose Day
  • Comprehensive benefits program and defined benefit pension plan
  • Flexible hybrid work arrangement facilitating work-life balance
Full Job Description
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

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

About CIBC

The Canadian Imperial Bank of Commerce is a Canadian multinational banking and financial services corporation headquartered in Toronto, Ontario. The bank is headquartered at Commerce Court in the city's Financial District. CIBC's Institution Number is 010, and its SWIFT code is CIBCCATT. It is one of two Big Five banks founded in Toronto, the other being the Toronto-Dominion Bank. The Canadian Imperial Bank of Commerce was formed through the June 1, 1961, merger of the Canadian Bank of Commerce and the Imperial Bank of Canada, the largest merger between chartered banks in Canadian history. The bank has four strategic business units: Canadian Personal and Business Banking, Canadian Commercial Banking and Wealth Management, U.S. Commercial Banking and Wealth Management, and Capital Markets. It has international operations in the United States, the Caribbean, Asia, and United Kingdom; Globally. CIBC serves more than eleven million clients, and has over 40,000 employees. The company ranks at number 172 on the Forbes Global 2000 listing.
Learn more about CIBC
Market Cap
$43.5 billion
Industry
Founded
1867
5 Year Trend
+8.8%

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