Manager, AI Product Enablement

BMO•Toronto, ON

22h•CA$75,900 - CA$141,900

About The Position

Take your career to a new level by joining the Data and Analytics Centre of Excellence (DACoE), whose mission is to drive top-tier growth, profit, and customer experience in Canadian Personal & Business Banking through data and analytics. We transform information into insight, arm partners with facts, and drive the business forward. The AI Product Enablement Manager will support the organization in accelerating the solutioning and adoption of AI capabilities; in close collaboration with partners across CA P&BB, technology, and governance. You will play a pivotal role in shaping the development and implementation of our AI products and will be responsible for programs that leverage agentic AI technologies across different departments within CA P&BB. We are looking for a seasoned professional who specializes in forward-thinking and creative solutioning. You have practical experience with agentic AI & automation, excellent analytical skills, and a thorough knowledge of business processes. You are skilled in leading requirement workshops, process design sessions, feature elaboration discussions and communicating with engineers and developers. You apply your expertise and think creatively to address unique or ambiguous situations and to find solutions to multiple, interdependent, complex problems. You have a proven track record of breaking down complex problems into steps that drive product development, have extensive experience on prompt engineering and automation engineering, and have knowledge of vector search and LLMs. This role is ideal for a highly analytical, adaptable professional who thrives in ambiguous, fast-moving environments and can translate evolving business needs into actionable solutions. Beyond defining what should be built, you will also contribute to how solutions come to life by leading discovery, shaping the solution roadmap, and supporting rapid prototyping and implementation.

Requirements

Minimal 5 years experience in process efficiencies, with a significant focus on AI-driven products.
Experience with agentic AI technologies is highly desirable.
Strong understanding of automation, agentic AI, GenAI and machine learning concepts and technologies.
Familiarity with the development, deployment, and scaling of AI products.
Excellent communication and interpersonal skills, with the experience to interact effectively with cross-functional teams and senior leadership.
Expertise in Software Product Management disciplines such as building roadmaps, systems operations, and regular maintenance cycle management.
Practical experience with automation, agentic AI, excellent analytical skills, and a thorough knowledge of business processes.
Skilled in leading requirement workshops, process design sessions, feature elaboration discussions, and communicating with engineers and developers.
Typically, 5-7 years of relevant experience and a post-secondary degree in a related field of study or an equivalent combination of education and experience
Process Improvement and Optimization
Business Strategy
Business Operations
Financial & Risk Management
Product Management
Collaboration
Product Development
Product Value Proposition and Go-to-Market Assets Definition, Design, and Development
Product Lifecycle Management
Complex Problem Solving
Verbal & Written Communication Skills
Analytical and Problem-Solving Skills
Influence Skills
Collaboration & Team Skills; with a focus on cross-group collaboration
Ability to Manage Ambiguity
Data-Driven Decision Making

Nice To Haves

Experience with agentic AI technologies is highly desirable.

Responsibilities

Define and evolve the product vision, scope, and priorities for AI and automation use cases in alignment with business objectives.
Own and manage the product backlog, translating ambiguous needs into well-defined features, user stories, and acceptance criteria. Apply structured thinking to prioritize use cases, assess feasibility, and recommend pragmatic, value-driven solutions.
Lead end-to-end discovery: elicit, analyze, and decompose complex business problems into structured requirements and solution components. Perform detailed process analysis and identify optimization opportunities enabled by data, AI, and automation.
Contribute to prompt design, workflow configuration, and solution shaping to accelerate delivery and validate concepts early. Collaborate with technical teams to transition prototypes into scalable, production-ready solutions.
Collaborate with stakeholders across the organization to elicit, analyze, and document business requirements for AI initiatives. Partner closely with engineering teams to guide delivery, remove blockers, and ensure outcomes align with intent and value. Communicate effectively with stakeholders and senior leadership, translating complex AI concepts into understandable insights and updates. Design and model new processes, incorporating technology solutions to support business objectives and improve user experience. Integrate your technical knowledge, subject matter expertise, and understanding of trends to make sound decisions and influence business direction through data-driven analysis.