Senior Manager, AI Enablement and Scalability

BMO•Toronto, ON

3d•CA$103,200 - CA$192,000•Onsite

About The Position

This role supports the advancement of Artificial Intelligence (AI) at BMO InvestorLine by empowering teams to understand, adopt, and leverage AI across workflows, while ensuring that AI investments scale across the enterprise. This role reports into the Head of AI, Digital Investing, and owns two core mandates: AI business enablement – driving adoption, capability-building, and measurable value from internal AI tools, while designing the future state AI operating model; and Scalability of AI investments – partnering across BMO lines of business to extend, co-develop, and economically scale AI investments. In addition to the two core mandates, this role will provide flexible, ad hoc support across AI strategy and delivery based on evolving business priorities.

Requirements

Minimum of six years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience
Minimum of two years of management consulting experience, with an emphasis on AI; MBB experience is an asset
Bachelor’s degree in relevant field; Master’s or PhD is an asset
Deep understanding of AI technology and delivery, including SDLC, agentic solution architecture, AI harness development, and the scalability of technology elements across use cases
Expert level understanding of modern applied AI capabilities and their application in business contexts
Demonstrated experience driving adoption of AI tools, capabilities, and ways of working at scale
Proven ability to operate cross-functionally and influence senior stakeholders without direct authority
Experience translating business needs into practical, scalable solutions
Working knowledge of responsible AI, governance considerations, and data/privacy requirements within a highly regulated industry
Verbal & written communication skills – Expert
Collaboration & team skills – Expert
Analytical and problem solving skills – Expert
Influence skills – Expert
Managing ambiguity – Expert
Data-driven decision making – Expert

Nice To Haves

MBB experience is an asset
Master’s or PhD is an asset

Responsibilities

Own business enablement strategy and execution for AI across InvestorLine, driving measurable, value accretive adoption of internal AI tools (e.g., Copilot Studio, Claude Cowork, and other no-/low-code tools)
Lead change management efforts to embed AI into workflows, including communications, activation plans, and champion networks
Define and execute the AI Learning & Development strategy, including role-based learning paths, workshops, speaker series, and ongoing capability-building programs
Build and maintain a centralized AI knowledge ecosystem (e.g., use-case libraries, prompt/skill/agent libraries, playbooks, best practices)
Partner cross-functionally across a highly matrixed business to identify practical, role-relevant AI use cases that improve productivity, decision-making, and quality of work
Partner with technology, data science, AI, and risk teams to activate value accretive internal use cases with pace
Establish and track adoption and impact metrics (e.g., workflow integration, efficiency gains), translating insights into clear, actionable direction for leadership
Reinforce responsible AI usage aligned to enterprise governance, risk, and data privacy requirements
Design the future state agentic operating model for InvestorLine, including a pragmatic, multi-stage operationalization approach
Continuously evolve enablement approaches based on feedback, usage patterns, and emerging AI capabilities
Partner across Wealth and BMO business & technology teams to identify shared AI opportunities and overlapping demand, helping inform where InvestorLine directs its AI investments
Lead across multiple lines of business to shape initiatives with scalability in mind, balancing shared build opportunities with InvestorLine specific needs
Support collaboration on AI initiatives by bringing clarity to scope, ownership, and delivery approach across partners
Lead the development of cost-sharing and value attribution approaches for jointly developed capabilities
Define what elements of a solution are scalable (e.g., platforms, core capabilities, workflows) versus what requires tailored builds
Establish repeatable approaches for extending AI initiatives beyond InvestorLine, reducing friction in scaling and reuse
Work within and adapt to the evolving Wealth and BMO AI landscape, aligning with broader practices, governance expectations, and ways of working
Maintain awareness of external trends and approaches to scalable AI deployment to inform internal decisions