VP, Risk Business Enablement and Transformation, AI & Innovation

TD•Toronto, ON

4d•$185,000 - $275,000•Onsite

About The Position

TD is building a brand-new capability at the intersection of Risk Management and artificial intelligence. This is a rare opportunity to design, launch, and build a team from a blank page: to define how agentic AI moves from side-of-desk experimentation to a disciplined, scaled capability that changes how Risk operates. The VP, Risk AI & Innovation is accountable for defining, enabling, and operationalizing the Risk AI and innovation strategy across Risk Management, in alignment with enterprise technology, data, and regulatory expectations. This role serves as a central senior leader driving AI‑enabled transformation, automation, and process re‑engineering across Risk Shared Services and Risk pillars.

Requirements

Proven experience delivering agentic AI and automation solutions in production.
A product-ownership mindset: able to structure problems into MVPs, connect solutions to existing processes and technology, and see delivery through to real adoption.
Deep respect for change management as a discipline — understanding that piloting, measuring, communicating, and building contingency plans is as important as the technical build.
Genuine curiosity about business problems.
A collaborative leadership style that shares credit with business partners and builds trust.
An appetite for building a team and function from the ground up.
Strong understanding of Risk Management frameworks, operational processes, and regulatory expectations.
Demonstrated experience partnering with technology, data science, and enterprise platforms to deliver AI solutions at scale.
Proven ability to lead complex change, influence across business and technology, and deliver measurable outcomes.
Undergraduate degree required

Nice To Haves

advanced degree in business, technology, data, or a related field preferred.

Responsibilities

Develop and execute the Risk AI strategy aligned to enterprise priorities, regulatory expectations, and the Risk Management strategy.
Identify, prioritize, and mature AI and automation use cases that materially improve efficiency, consistency, control effectiveness, and decision support across Risk.
Establish AI‑enabled innovation services as a formal shared service offering to Risk pillars.
Partner closely with AI2, Enterprise Technology, and Data teams on the design, development, and deployment of AI solutions for Risk.
Act as the senior Risk product and business lead for AI tools, ensuring solutions are fit‑for‑purpose, scalable, explainable, and regulator‑ready.
Translate Risk process and control requirements into clear AI and automation solution designs.
Lead process re‑engineering and streamlining initiatives, applying AI, automation, and workflow optimization to reduce manual effort and complexity.
Drive the application of AI to automate repeatable, low‑value, and data‑intensive Risk activities while strengthening governance and control outcomes.
Standardize approaches and tooling for automation across Risk Shared Services.
Own AI and automation reporting for Risk, including value realization, efficiency gains, risk reduction, and adoption metrics.
Provide transparent, executive‑level reporting on AI initiatives, automation pipeline, and delivery outcomes.
Oversee the AI and innovation budget within Risk Shared Services, ensuring strong financial discipline, prioritization, and value delivery.
Support investment decisions through clear business cases and benefit realization tracking.
Impact Enterprise Risk scope, supporting multiple Risk pillars, risk types, and senior Risk leaders.
Operates within a highly regulated, multi‑jurisdictional environment with significant regulatory, operational, and reputational considerations.
Directly contributes to measurable improvements in efficiency, scalability, consistency, and colleague experience across Risk.