AI Product Owner

BRP•Montreal, QC

3d•Hybrid

About The Position

Be a part of a fast-paced culture and community in a startup-like environment inside one of the most successful organizations in Québec. We are focused on building a highly talented and ambitious team from the ground up that revolutionizes the way we work around Data & Analytics at BRP. We are a team that has the potential to unlock tremendous value for the organization and you have the unique opportunity to be part of it from the beginning. Join BRP's central Data & Analytics team (DNA) as an AI Product Owner and bring your analytical skills and business insight to our dynamic team. This role is perfect for someone who seeks to blend their understanding of business intelligence with the predictive power of data science to unlock new opportunities for BRP.

Requirements

5+ years as a Product Owner, Product Manager, or Business Analyst in a tech or data environment
Comfortable with financial modelling and business case construction
Understands AI/ML capabilities well enough to challenge both suppliers and internal teams
Excellent communication and stakeholder management skills
Proficiency in French and English

Nice To Haves

Experience evaluating or procuring AI-powered solutions from external suppliers
Background combining product ownership with strategic advisory or consulting
Exposure to AI/ML platforms and the vendor landscape

Responsibilities

Act as the primary point of contact between business stakeholders and the AI team
Gather, qualify, and prioritize AI-related opportunities from across the business
Manage expectations, communicate clearly, and drive alignment in complex environments
Lead supplier evaluations: challenge AI-powered feature claims, assess fit, cost, and risk
Own the build vs. buy decision process for every AI opportunity that lands on the team's radar
Ensure the AIML team focuses its energy where it genuinely creates the most value
Develop and own the business case for each initiative (ROI, cost avoidance, productivity gain)
Track realized value post-delivery and feed learnings back into prioritization
Provide objective assessments, including when an opportunity is not worth pursuing
Coordinate the AI-specialized team (Architect, Cybersecurity, Cloud Engineer, Scrum Master)
Maintain a clear backlog and roadmap for the team's portfolio
Support delivery across sprints, experimentation phases, and release cycles