VP, AI Strategy and Change Management

BMO•New York, NY

About The Position

We are hiring a Vice President, AI Strategy and Change Management to shape and drive AI adoption across BMO Capital Markets (CM). This role is responsible for defining the strategic AI roadmap for CM and ensuring the organization is effectively upskilled to use AI tools in day‑to‑day workflows. The role sits at the intersection of business strategy, front‑office engagement, and organizational change, translating real business pain points into prioritized AI initiatives and ensuring those solutions are adopted at scale. The Data Cognition Team (DCT) is a world‑class AI engineering team within BMO Capital Markets, with nearly 10 years of experience building and deploying advanced AI solutions. We partner closely with front‑office businesses and senior leadership to deliver secure, practical, and scalable AI capabilities—focused on real adoption and measurable business impact.

Requirements

5+ years of experience in business strategy, management consulting, transformation, or change management, ideally in financial services or technology.
Proven experience driving adoption of nascent technologies or operating models at large organizations.
Exceptional communication and presentation skills, with comfort engaging senior executives.
Strong judgment, structured thinking, and ability to prioritize in a complex environment.
Deep curiosity and passion for AI, with a commitment to continuously build AI literacy and stay ahead of emerging technologies.

Nice To Haves

Experience working with AI, data, or technology development teams.
Familiarity with Capital Markets businesses and front‑office workflows.
MBA, CFA, or equivalent advanced degree
CCMP, Prosci (ADKAR), or equivalent certifications

Responsibilities

Define and maintain the AI strategy and roadmap for BMO Capital Markets, aligned with senior‑level priorities.
Evaluate and prioritize AI initiatives based on business impact, feasibility, and strategic fit.
Support decisions on vendor onboarding, build‑vs‑buy trade‑offs, and internal investment allocation.
Lead change management and adoption efforts to ensure AI tools are embedded into front‑office workflows.
Partner with training and enablement teams to upskill traders, bankers, and analysts in practical AI usage.
Act as a bridge between front‑office users and AI engineers, translating pain points into actionable solutions.
Prepare and present clear, compelling materials for senior leadership and executive forums.