BI Product Owner

Evolve within a dynamic and high-performing culture offering a startup-like environment within one of Quebec's most prosperous organizations. By joining BRP's Central Data and Analytics (DNA) team, you will be part of an established and recognized organization that plays a crucial role in the adoption of data-driven decision-making across the company. We continuously enhance our capabilities, expand our impact, and foster innovation through analytics, business intelligence, artificial intelligence, and data products. This is a unique opportunity to contribute to a team that generates significant value for the organization while participating in defining the next generation of data, analytics, and AI solutions at BRP.

Join BRP's Central Data and Analytics (DNA) team as a BI Product Owner and leverage your analytical mindset and business acumen within a dynamic team. This role is ideal for someone passionate about transforming data into actionable insights, promoting data-driven decision-making, and delivering high-value analytical solutions that generate measurable results for the business.

YOU WILL HAVE THE OPPORTUNITY TO: Strategic Partnership and Stakeholder Management

Act as the primary liaison between business stakeholders and Data and Analytics delivery teams.

Collaborate with leaders in outbound transportation, inbound logistics, and supply chain operations to identify, prioritize, and deliver high-value opportunities in business intelligence, analytics, and AI that promote operational excellence and informed decision-making.

Gather, qualify, prioritize, and manage reporting initiatives, dashboards, KPIs, analytics, and AI initiatives aligned with business objectives.

Ensure alignment between business stakeholders, analytical teams, data engineering teams, and technology partners.

Clearly and effectively communicate the product vision, roadmap, priorities, risks, and outcomes.

Promote a data-driven culture by helping business teams leverage available information to improve decision-making and operational performance.

Analytics and Business Intelligence Product Strategy

Identify opportunities where business intelligence, analytics, data products, AI agents, and intelligent automation solutions can improve operational visibility, efficiency, decision-making, and performance in logistics and supply chain functions.

Drive the evolution of reports, dashboards, performance dashboards, self-service capabilities, AI-powered insights, and intelligent decision support features.

Define and maintain KPI management frameworks and measurement strategies.

Ensure consistency and alignment of metrics, definitions, and reporting standards across the organization.

Collaborate with business and technical teams to identify use cases for AI technologies, including conversational AI, predictive analytics, logistics optimization, agent workflows, and process automation solutions.

Prioritize initiatives based on a value-driven framework, balancing ROI, operational benefits, strategic alignment, implementation effort, and organizational maturity.

Prioritize initiatives that generate measurable business value and contribute to strategic goals.

Examples of Initiatives: Executive Performance Dashboards

Transport and Logistics Performance Reports

Supply Chain and Operations Analytics

Logistics KPI Dashboards and Operational Visibility Solutions

Transport and Freight Cost Analytics

Inventory and Material Flow Reports

Self-Service Analytics Solutions

Data Quality and Governance Reports AI-Powered Logistics Optimization Use Cases AI Agents Supporting Transport and Logistics Teams

Supply Chain Risk Monitoring and Predictive Analytics

Corporate KPI Dashboards

Cross-Functional Business Performance Reports

Business Case Development and Value Realization

Develop and own business cases for BI, analytics, and AI initiatives.

Quantify expected benefits, including productivity gains, operational efficiency gains, revenue opportunities, cost reductions, working capital optimization, and improved decision-making.

Establish and apply financial prioritization frameworks to evaluate initiatives based on expected ROI, business value, implementation costs, strategic contribution, and risk reduction.

Collaborate with business leaders and finance teams to assess investment opportunities and ensure resources are allocated to high-value initiatives.

Define success metrics and KPIs for analytical products and reporting solutions.

Measure and track the adoption, usage, and business impact of BI products.

Monitor realized value post-deployment and continuously adjust product priorities based on learnings.

Provide objective recommendations, including when certain initiatives do not justify the required investments.

Product Management and Delivery Leadership

Be responsible for managing and prioritizing the product backlog for BI, analytics, reporting, data products, and AI-powered solutions.

Translate business needs into user stories, functional specifications, and acceptance criteria.

Coordinate multidisciplinary teams including BI developers, data engineers, analytical engineers, solution architects, data governance specialists, cloud engineers, AI specialists, and Scrum Masters.

Lead delivery efforts through the discovery, design, development, testing, deployment, and adoption phases.

Maintain a clear BI and analytics roadmap aligned with company priorities.

Ensure that reports, dashboards, KPIs, data products, and AI solutions offer a consistent and integrated business experience.

Continuously re-evaluate priorities based on realized business value, financial impact, stakeholder feedback, and new opportunities.

Foster continuous improvement through regular feedback loops and product performance evaluations.

YOU WILL THRIVE IN THIS ROLE IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES:

More than 5 years of experience as a Product Owner, Product Manager, Business Analyst, BI Manager, Analytics Product Owner, or similar role.

Demonstrated experience in delivering business intelligence, reporting, analytics, or data product initiatives.

Excellent understanding of KPI development, dashboard design, reporting frameworks, and data visualization best practices.

Experience in translating business needs into scalable analytical solutions.

Experience in developing business cases and evaluating ROI for analytical, digital, or technological investments.

Experience in prioritizing portfolios or product backlogs using value-driven, financially impactful, cost-benefit analysis, or ROI frameworks.

Ability to bridge the gap between business needs and technical teams.

Excellent stakeholder management, facilitation, and communication skills.

Experience working in Agile environments and product backlog management.

Excellent analytical and problem-solving skills.

Understanding of AI-powered business solutions, AI agents, intelligent automation, predictive analytics, or similar technologies.