Address:

The Senior Manager, Strategic Enablement leads the enablement of Canada P&BB data, analytics, and AI capabilities, collaborating closely with business architecture and technology teams to ensure all initiatives stay aligned with target-state goals. This role also delivers new capabilities in close partnership with Technology teams for Data and Analytics teams.

Key Responsibilities

1) Data Use Case Enablement

Partner with Product Owners and business teams to define, prioritize, and deliver Data and analytics use cases
Translate business problems into implementation-ready solutions (workflows, data requirements, models, controls)

Lead implementation of Data & Analytics platforms and solutions, including analytics platform, data engineering foundation, and consultant on user change management for modernization efforts
Ensure use cases are aligned to business capabilities, architecture, and strategic priorities
Evaluate emerging technologies and vendor solutions to accelerate use case delivery and scalability

2) Architecture & Roadmap Alignment
Partner with Business Architect to align initiatives to capability roadmap and target architecture

Ensure technology selections and implementation approaches support long-term strategy and scalability

Provide feedback into roadmap based on delivery insights and technical feasibility

3) Cloud & Technology Delivery (AWS / Azure)

Collaborate with platform, engineering, and other teams to design and build robust Data & Analytics environments

Ensure alignment with enterprise standards and cloud strategies Cross-Functional Collaboration

Work across business, data, and engineering teams to deliver production-read outcomes

Gather and translate business needs into clear functional and non-functional requirements (e.g., SLAs, data freshness, controls, auditability)

Act as a bridge between business stakeholders and technical teams, ensuring clarity and alignment throughout delivery

Qualifications

10+ years professional experience

5-8+ years of experience in AI or analytics delivery

Strong hands-on Python/PySpark experience development for production

Experience with AWS and/or Azure ecosystems

Proven experience delivering production Data or AI solutions

Strong ability to translate business needs into technical requirements and delivery plans

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: