AI Product Scaling Director
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Key skills for this role
About the Role
CIBC seeks a Director, AI Product Scaling to transform promising AI solutions into scalable products across multiple lines of business.
Key Skills for This Role
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.
- 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.
Requirements
- 7+ years of experience in data science, ML engineering, or AI product delivery, with proven track record of taking AI solutions through full lifecycle to production.
- Demonstrated experience establishing SDLC, code standards, and processes in a team setting for scalable and repeatable delivery.
- Experience in financial services or similarly regulated industries is an asset.
- Comfortable shifting between strategic planning and tactical execution, writing product requirements and reviewing code with equal confidence.
- Leadership comes from setting standards, coaching others, and delivering results.
- Degree/diploma in Computer Science, Business, or a related field.
Full Job Posting
What You'll Be Doing
- 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.
How You'll Succeed
- AI Solution Scaling – 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.
- Practice Building & Standards – Establish and maintain the team’s software development lifecycle (SDLC), including structured CI/CD handoff processes and reusability standards for shared components and documentation.
- Technical Partnership – Collaborate with CDAO engineering and ML infrastructure teams to streamline the path from model development to production API deployment.
- Coaching & Leadership – Lead delivery on high priority use cases while coaching junior data scientists to execute within established frameworks and best practices.
- Strategic Delivery – Maintain a view of the use case backlog, contributing to sequencing and scoping decisions to maximize throughput and value.
- Business Development Support – Serve as a technical voice in business development conversations, credibly scoping opportunities and setting accurate expectations.
Who You Are
- You can demonstrate 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.
- You have demonstrated experience establishing SDLC, code standards, processes in a team setting, enabling scalable and repeatable delivery.
- It’s an asset if you have experience in financial services or similarly regulated industries and you’re adept at working across organizational boundaries to move initiatives forward.
- You act like an owner. You’re comfortable shifting between strategic planning and tactical execution, writing product requirements and reviewing code with equal confidence.
- You are a caring and accountable leader. Your leadership comes from setting standards, coaching others, and delivering results.
- You have a degree/diploma in Computer Science, Business, or a related field.
What CIBC Offers
- 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
- 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.
What You Need To Know
- CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong.
- 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.
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