Vice-President, AI Products

CIBC•Toronto, ON

2d•Onsite

About The Position

Reporting to the Head, Personal and Business Banking (PBB) AI, Data and Analytics Office, the Vice-President, AI Products will be responsible for leading the development of robust, reusable artificial intelligence tools and foundational capabilities to support Personal and Business Banking (PBB). This role is accountable for driving the creation and deployment of scalable AI solutions that empower teams to deliver seamless, personalized experiences to clients. The role will lead a cross-functional agile crew comprised of engineers from enterprise and PBB technology, business SMEs, change management experts and design leads. The squads in this crew will set the strategic vision for AI enablement, and ensure best-in-class technology practices are adopted throughout the organization. The scope of accountability spans across PBB Channels and strategic client segments as well as Simplii Financial to drive outstanding results in the areas of growth, revenue, and customer satisfaction.

Requirements

University degree, MBA, or B.S./M.Sc. in quantitative disciplines such as Statistics, Applied Science/Math or Engineering.
Strong knowledge of analytical tools and predictive modelling including how they may be leveraged to solve business problems.
Experience in working with large datasets including both structured and unstructured data and knowledge of related tools.
Experience leading Agile business teams and employing user-centred design and end-to-end process thinking.
Extensive Strategy, Consulting and/or Client experience roles in Client focused industries.
Proven ability to design and implement innovative and impactful client experience initiatives.
Comprehensive knowledge of the financial services industry, lines of business and client strategy and segments, products and services.
Strong understanding and experience analyzing research / sample based data.
Ability to judge quality of data, interpret complex quantitative information to draw meaningful conclusions.
Strong influential/negotiation skills sufficient to respond to client issues, lead and shape business decisions using informed client insights and data driven solutions.
Strong analytical and problem-solving skills to develop unique solutions to complex and abstract issues and to provide interpretive advice to business and functional leaders.
Excellent communication, presentation, and interpersonal skills, with the ability to convey technical information in understandable terms, document insights, influence action, and effectively balance operating as a change champion and consultant to the business through strong relationship management.
Demonstrated leadership and people management skills, fostering and retaining top talent in a fast-paced, highly competitive environment.

Responsibilities

Product Ownership & AI Solutions Lifecycle Management: Design, implement, and maintain a comprehensive library for AI/Machine Learning (ML) assets throughout their lifecycle, ensuring traceability, safe deployment, reuse, auditability, and rollback capabilities.
Serve as the business product owner for AI/ML deployment within PBB, facilitating cross-domain collaboration and enabling the use of a reusable library of model components and APIs to scale AI solutions across the business.
Develop and enforce standardized frameworks for model development, testing, and deployment aligned with enterprise-wide standards and best practices.
Collaborate closely with enterprise Data & AI and Risk teams to align on standards for AI model validation, monitoring, and ongoing management.
Partner with Risk and Compliance teams to ensure responsible data usage, adherence to privacy requirements, and compliance with AI ethics standards across all AI/ML initiatives.
Define, track, and manage objective and key results and KPIs and establish continuous feedback loops to drive ongoing improvement in model performance and business outcomes.
Generative AI / Agentic Services Configuration: Establish and lead a Generative AI capability focused on consuming, configuring, and applying enterprise-grade Large Language Models (LLM) services and foundational AI capabilities — such as Document Intelligence and Voice Recognition — to PBB-specific business problems and use cases.
Partner with the AI Platforms Hub on roadmap alignment and PBB-specific requirements, ensuring PBB's needs are clearly represented in the development and evolution of enterprise AI assets.
Collaborate with Digital and Client Solutions teams to embed Generative AI features into client-facing and employee interfaces, enhancing user experience and operational efficiency.
Drive the development and deployment of LLM use cases including knowledge retrieval, automated summarization, and conversational support for clients, leveraging enterprise foundational capabilities.
Responsible AI / Agentic Solutions: Develop and implement responsible AI frameworks to ensure transparency, mitigate bias, and enhance explainability of AI-driven outcomes across all solutions.
Continuously experiment with and evaluate emerging technologies, such as adaptive personalization, to advance and evolve the organization's AI capabilities and improve customer experiences.
Testing & Experimentation: Provide safe, repeatable test environments and a robust experimentation framework for new capabilities, enabling teams to evaluate models, LLM prompts, and decision policies both pre-and post-release.
Establish clear guardrails and unbiased measurement standards to ensure rigorous, consistent testing and reliable assessment of AI solutions prior to deployment.

Benefits

competitive salary
incentive pay
banking benefits
a benefits program
defined benefit pension plan
an 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