Mqreferrals

Lead Product Manager, Enterprise AI & Automation

Toronto, Canada; Vancouver, Canada

Sponsorship not specified$114k-$142kDetected 14 days ago

Vendor ManagementProcurementResearchLeadershipCommunicationPublic Speaking

About the role

This is not a research role or a strategy-only role.
The right person is equally comfortable presenting an AI governance framework to the executive team and rolling up their sleeves to configure an agent, evaluate a vendor, or run a pilot with a business unit.
This role can be performed remotely anywhere within Ontario or British Columbia, Canada.

Partner across the business to identify and prioritize high-value AI and automation use cases for each business unit.
Map how work flows across the enterprise to identify where AI can deliver step-change improvements - not just incremental automation, but fundamentally better ways of operating.
Partner with Architecture Review Boards and AI Steering Committee to ensure all AI platforms and solutions adhere to defined IT standards and governance frameworks.
Design and lead the Plan and Commit process with business stakeholders for AI and automation technology requests.
Maintain a visible backlog of active and pending AI and automation initiatives, giving stakeholders transparency into status, effort, and expected value.

7+ years in IT product management, with at least 2 years focused on AI or emerging technology products.
A genuine understanding of AI capabilities - summarization, classification, generation, agentic workflows - and the ability to translate that into business strategy and concrete use cases.
Strong prioritization instincts and the ability to make hard calls about what matters most in a fast-moving, resource-constrained environment.
Demonstrated ability to influence without authority - across business units, finance, legal, and security stakeholders.
Comfort operating hands-on with AI tooling: you don't need to write production code, but you should be able to evaluate a platform, configure an agent, and troubleshoot when something isn't working.

Experience with no-code/low-code AI platforms (e.g., Workato, or similar) is a strong plus.
Fintech or regulated industry experience preferred.

To support Flex First, we calibrate pay to a competitive value according to working location.
Annual "development dollars" to support our people growth and development

Conduct feasibility assessments and cost-benefit analysis for proposed AI initiatives.

This listing is sourced directly from Mqreferrals's careers page and normalized into a canonical job model.