BMO Financial Group
Data Analytics & Reporting
Manager,AIEnablement
Neural analysis suggests this role is
optimal for Mid candidates.
“Manager, AI Enablement at BMO Financial Group. Skills: AI Enablement, Production AI, MLOps. Define, prioritize, and execute AI use cases. Translate business problems into AI solutions”
Industry & Context.
What They're Looking For.
Must Have
Python/PySpark experience, AWS and/or Azure ecosystems, delivering production AI solutions, translate business needs into technical requirements and delivery plans, MLOps lifecycle
Nice to Have
model registry and versioning, CI/CD and deployment strategies, Monitoring and reproducibility
What You'll Do.
and execute AI use cases
Translate business problems into AI solutions
Investigate new technologies and vendor solutions
Align AI initiatives to roadmap
Ensure technology selections support strategy
Provide feedback into roadmap
Design robust AI environments
Deliver production-ready AI outcomes
Gather and translate business needs
Enable production-grade MLOps pipelines
Support model lifecycle management
Support creation of model inference capabilities
How You'll Work.
Team & Collaboration
Partner closely with Product Owners, Business Architecture, Data & Analytics, and Technology teams; Collaborate with platform, engineering, and other teams; Work across business, data, and engineering teams; Act as a bridge between business stakeholders and technical teams
Full Job Description
Application Deadline: 06/09/2026 Address: 33 Dundas Street West Job Family Group: Data Analytics & Reporting **This is a hybrid role in Toronto** The Manager, AI Enablement is a hands-on individual contributor responsible for enabling AI use-cases and production-grade AI capabilities across Canada P&BB Data & Analytics. The role partners closely with Product Owners, Business Architecture, Data & Analytics, and Technology teams to translate business needs into scalable, enterprise-grade AI solutions, while ensuring alignment to the capability roadmap and long-term architecture strategy. **Key Responsibilities** **AI Use Case Delivery** * Partner with Product Owners to define, prioritize, and execute AI use cases aligned to business priorities and roadmap * Translate business problems into implementation-ready AI solutions, including workflows, data requirements, and models * Investigate new technologies and vendor solutions for AI use-cases **Architecture & Roadmap Alignment** * Partner with Business Architect to align AI 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 **Cloud & Technology Delivery (AWS / Azure)** * Collaborate with platform, engineering, and other teams to design robust AI environments * Ensure alignment with enterprise standards and cloud strategies **Cross-Functional Collaboration** * Work across business, data, and engineering teams to deliver production-ready AI 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 **MLOps & Platform Enablement** * Partner with Technology Teams to enable production-grade MLOps pipelines, including mod
Applying for this Manager, AI Enablement role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about BMO Financial Group?
Real rants from real employees. Read before you apply.