BI Product Owner

BRP•Sherbrooke, QC

26d•Hybrid

About The Position

Join BRP's central Data & Analytics team (DNA) as a BI Product Owner and bring your analytical mindset and business acumen to our dynamic team. This role is perfect for someone who is passionate about transforming data into actionable insights, enabling data-driven decision-making, and delivering impactful analytics solutions that create measurable business value across the organization. BRP is a world leader in recreational vehicles and boats, creating innovative ways to move on snow, water, asphalt, dirt and even in the air. Headquartered in the Canadian town of Valcourt, Quebec, our company is rooted in a spirit of ingenuity and intense customer focus. Today, we operate manufacturing facilities in Canada, the United States, Mexico, Finland, Australia and Austria, with a workforce made up of close to 17,000 spirited people, all driven by the deeply held belief that at work, as with life itself, it’s not about the destination: It’s about the journey.

Requirements

5+ years of experience as a Product Owner, Product Manager, Business Analyst, BI Lead, Analytics Product Owner, or similar role.
Proven experience delivering business intelligence, reporting, analytics, or data product initiatives.
Strong understanding of KPI development, dashboard design, reporting frameworks, and data visualization best practices.
Experience translating business requirements into scalable analytics solutions.
Experience building business cases and evaluating ROI for analytics, digital, or technology investments.
Experience prioritizing portfolios or backlogs using business value, financial impact, cost-benefit analysis, or ROI-based frameworks.
Ability to bridge business needs with technical delivery teams.
Strong stakeholder management, facilitation, and communication skills.
Experience working in Agile environments and managing product backlogs.
Strong analytical and problem-solving capabilities.
Understanding of AI-powered business solutions, AI agents, intelligent automation, predictive analytics, or generative AI use cases.
Proficiency in French and English.

Nice To Haves

Experience leading enterprise BI, analytics, or AI programs.
Expertise with Power BI, Tableau, SAP Analytics Cloud, or similar BI platforms.
Experience with data modeling, semantic layers, and enterprise reporting architectures.
Familiarity with modern cloud-based analytics and data platforms (Azure, Snowflake, Databricks, AWS, Google Cloud).
Experience delivering self-service analytics capabilities at scale.
Understanding of data warehousing, dimensional modeling, and analytics engineering concepts.
Experience supporting executive leadership through strategic reporting and business performance management.
Background in digital transformation, business consulting, enterprise analytics, or supply chain transformation functions.
Exposure to AI-enabled analytics, predictive analytics, AI agents, conversational AI, and advanced decision-support capabilities.
Experience in logistics, transportation, supply chain, or operations environments.

Responsibilities

Act as the primary liaison between business stakeholders and the Data & Analytics delivery team.
Partner with leaders across outbound transportation, inbound logistics and supply chain operations to identify, prioritize, and deliver high-value business intelligence, analytics, and AI opportunities that drive operational excellence and informed decision-making.
Gather, qualify, prioritize, and manage reporting, dashboarding, KPI, analytics, and AI initiatives aligned with business objectives.
Facilitate alignment between business stakeholders, analytics teams, data engineering teams, and technology partners.
Communicate product vision, roadmap, priorities, risks, and outcomes clearly and effectively.
Champion a data-driven culture by helping business teams leverage insights to improve decision-making and operational performance.
Identify opportunities where business intelligence, analytics, data products, AI agents, and intelligent automation solutions can improve operational visibility, efficiency, decision-making, and business performance across logistics and supply chain functions.
Drive the evolution of reporting, dashboards, scorecards, self-service analytics, AI-powered insights, and intelligent decision-support capabilities.
Define and maintain business KPI frameworks and measurement strategies.
Ensure consistency and alignment of metrics, definitions, and reporting standards across the organization.
Partner with business and technical teams to identify use cases for AI technologies, including conversational AI, predictive analytics, logistics optimization, agentic workflows, and process automation solutions.
Prioritize initiatives using a business-value and financial-impact framework that balances ROI, operational benefits, strategic alignment, implementation effort, and organizational readiness.
Prioritize initiatives that deliver measurable business value and support strategic objectives.
Develop and own business cases for BI, analytics, and AI initiatives.
Quantify expected business benefits including productivity gains, operational efficiencies, revenue opportunities, cost reductions, working capital improvements, and enhanced decision-making.
Establish and apply financial prioritization frameworks to evaluate initiatives based on expected ROI, business value, implementation costs, strategic contribution, and risk reduction.
Partner with business and finance leaders to assess investment opportunities and ensure resources are allocated to the highest-value initiatives.
Define success metrics and KPIs for analytics products and reporting solutions.
Measure and monitor adoption, usage, and business impact of BI products.
Track realized value after deployment and continuously refine product priorities based on lessons learned.
Provide objective recommendations, including when initiatives do not justify investment.
Own and prioritize the backlog for BI, analytics, reporting, data products, and AI-enabled initiatives.
Translate business requirements into user stories, functional specifications, and acceptance criteria.
Coordinate cross-functional teams including BI Developers, Data Engineers, Analytics Engineers, Solution Architects, Data Governance Specialists, Cloud Engineers, AI Specialists, and Scrum Masters.
Lead delivery efforts across discovery, design, development, testing, deployment, and adoption phases.
Maintain a clear BI & analytics aligned with enterprise priorities.
Ensure reporting, dashboards, KPIs, data products, and AI solutions provide a consistent and integrated business experience.
Continuously reassess priorities based on realized business value, financial impact, stakeholder feedback, and emerging opportunities.
Drive continuous improvement through regular stakeholder feedback and product performance reviews.