Senior Manager, AI Enablement and Scalability
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Key skills for this role
About the Role
BMO InvestorLine cherche un Senior Manager pour piloter l'adoption de l'IA et la scalabilité des investissements IA. Le rôle combine enablement business et alignement entreprise, avec un minimum de 6 ans d'expérience et une expérience en conseil en management.
Key Skills for This Role
Responsibilities
- Own business enablement strategy and execution for AI across InvestorLine, driving measurable, value accretive adoption of internal AI 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
- 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, 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
- Lead across multiple lines of business to shape initiatives with scalability in mind
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
- 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
Full Job Posting
Role Overview
- 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 and scalability of AI investments.
- In addition, this role will provide flexible, ad hoc support across AI strategy and delivery based on evolving business priorities.
AI Business Enablement
- 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.
AI Scalability & Enterprise Alignment
- 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.
Qualifications
- 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.
Culture & Ways of Working
- Acts with a strong sense of ownership and accountability for outcomes.
- Highly collaborative, with the ability to build trust and influence across business, technology, and risk partners.
- Comfortable operating in ambiguity and shaping structure where it does not yet exist.
- Balances strategic thinking with hands on execution.
- Maintains a client and employee first mindset when designing and scaling AI enabled ways of working.
- Continuously learns and adapts as AI capabilities and industry practices evolve.
Salary
- CAD 103,200.00 CAD 192,000.00
- Pay Type: Salaried
About BMO
- At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life.
- As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.
- BMO is committed to an inclusive, equitable and accessible workplace.
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