AI Product Scaling Director
About The Position
Join CIBC’s Advanced Analytics Delivery, Artificial Intelligence team as the Director, AI Product Scaling. In this senior role, you’ll be responsible for transforming promising AI solutions into scalable products that deliver value across multiple lines of business. You’ll lead the transition from prototype to production, establishing standards, processes, and engineering partnerships that enable the broader data science team to deliver efficiently and consistently. Your technical expertise, engineering credibility, and product mindset will help ensure that every solution is robust, reusable, and business-focused. You’ll actively coach junior data scientists, partner with infrastructure and API teams, and serve as a technical leader in business development conversations. This is your opportunity to shape the future of AI product delivery at CIBC, driving impact at scale. At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.
Requirements
- 7+ years of experience in data science, ML engineering, or AI product delivery, with a proven track record of taking AI solutions through the full lifecycle to production.
- Demonstrated experience establishing SDLC, code standards, processes in a team setting, enabling scalable and repeatable delivery.
- Comfortable shifting between strategic planning and tactical execution, writing product requirements and reviewing code with equal confidence.
- A degree/diploma in Computer Science, Business, or a related field.
Nice To Haves
- Experience in financial services or similarly regulated industries.
- Adept at working across organizational boundaries to move initiatives forward.
Responsibilities
- Own the transition of AI solutions from pilot or proof-of-concept to fully scaled products across multiple lines of business, ensuring robust delivery and adoption.
- Establish and maintain the team’s software development lifecycle (SDLC), including structured CI/CD handoff processes and reusability standards for shared components and documentation.
- Collaborate with CDAO engineering and ML infrastructure teams to streamline the path from model development to production API deployment.
- Lead delivery on high-priority use cases while coaching junior data scientists to execute within established frameworks and best practices.
- Maintain a view of the use case backlog, contributing to sequencing and scoping decisions to maximize throughput and value.
- Serve as a technical voice in business development conversations, credibly scoping opportunities and setting accurate expectations.
Benefits
- competitive salary
- incentive pay
- banking benefits
- a benefits program
- defined benefit pension plan
- employee share purchase plan
- a vacation offering
- wellbeing support
- MomentMakers, our social, points-based recognition program
- Purpose Day; a paid day off dedicated for you to use to invest in your growth and development
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What This Job Offers
Job Type
Full-time
Career Level
Senior
