Full Job Description
Application Deadline:
11/29/2026
Address:
100 King Street West
Job Family Group:
Data Analytics & Reporting
This role owns the strategy and execution to move BMO InvestorLine from general-purpose AI assistants to an AI-augmented operating model, where every team is amplified by a supporting network of AI agents working under human direction. It is accountable for the end-to-end path and outcomes, partnering with AI Technology & Analytics teams to build and deliver solutions, while ensuring AI investments scale economically across the enterprise.
AI Enablement & Workforce Transformation
• Own the end-to-end strategy and execution for an AI-enabled workforce, defining and operationalizing a multi-stage roadmap—from augmenting individual workflows, to redesigning processes around AI, to standing up human-led, agent-supported ways of working
• Design the future-state agentic operating model, including a pragmatic, staged rollout with the roles, controls, and governance it requires
• Build executive narratives and business cases, translating a complex transformation into clear, compelling stories with quantified business value
• Lead across a highly matrixed organization to define and operationalize a prioritized backlog of internal AI use cases that create measurable value throughout the transformation
• Partner with AI Technology, Analytics, and Risk teams to activate use cases with pace, with accountability for outcomes
• Establish governance mechanisms to measure and track adoption, impact, and value
• Reinforce responsible AI usage aligned to enterprise governance, risk, and data privacy requirements
• Lead change management across the full journey, starting with the value-accretive adoption of internal AI tools (e.g., communication, activation, champion networks, L&D, prompt/skill/agent libraries)
• 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 Required
• Minimum of two years of management consulting experience with an AI andtechnology-transformation focus
• Minimum of six years of relevant experience or an equivalent combination of education and experience
• Bachelor’s degree in relevant field
• Technical fluency across the modern AI stack; this is not an AI engineering role, but you must be fluent enough to set strategy and drive execution (e.g., multi-agent systems, evals, guardrails, orchestration, observability, agent identity management)
• Deep understanding of the AI SDLC
• Exceptional communication skills, executive presence, and a proven ability to influence senior stakeholders without direct authority
• Demonstrated experience driving AI adoption and new ways of working at scale
• Working knowledge of responsible AI, governance, and data/privacy requirements in a highly regulated industry
• Strong ownership and accountability for outcomes, balancing strategic thinking with hands-on execution
• Highly collaborative across business, technology, and risk; comfortable shaping structure and leading in ambiguity
Preferred
• MBB consulting experience.
• MBA/MSc/PhD in a relevant field from a top institution.
• Financial services or other regulated-industry experience.
• Experience leading in a highly matrixed organization.
Salary:
$140,000.00 - $240,000.00
Pay Type:
Salaried