Application Deadline:

06/18/2026

Address:
33 Dundas Street West

Job Family Group:

Customer Solutions

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.

Key Responsibilities:

• Product Vision: Define and evolve the product vision, scope, and priorities for AI and automation use cases in alignment with business objectives.
• Roadmap Development: 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.
• Discovery & Analysis: 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.
• Delivery Lifecycle Management: 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.
• Stakeholder Management: 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.

Knowledge, Skills, Abilities, and Experience:

• Minimal 5 years experience in process efficiencies, with a significant focus on AI-driven products. Experience with agentic AI technologies is highly desirable.
• Technical Knowledge: 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.

Qualifications:

• 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

Salary:

$75,900.00 - $141,900.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards