Product Owner, Data & Integration (12-month contract) at Canada Goose in Toronto, ON

  • Company: Canada Goose
  • Location: Toronto, Ontario, CAN
  • Salary: $102K – $141K
  • Job type: contract
  • Workplace: onsite
  • Posted: 2026-09-27

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Job description

Location: Toronto Address: 100 Queens Quay East Toronto, Ontario M5E 1V3 Canada Job Title: Product Owner, Data & Integration (12-month contract) Canada Goose isn't like anything else. We've built something great, something special - an iconic lifestyle brand with an inspirational and authentic story. At the heart of it is our promise to inspire and enable all people to thrive in the world outside. At Canada Goose, you're part of a movement that belongs to something bigger. One that seeks out the restorative power of nature and is driven by our purpose to embolden explorers and preserve the planet they roam. We endure any condition, observe every detail, and are building a community that believes in living bravely and coming together to support game-changing people. Here, opportunities are everywhere - to try something new, to learn, to do meaningful and impactful work, and they're yours for the taking. Position Overview: The Product Owner plays a central role to lead and manage our data automation and integration initiatives, within a dynamic and fast-paced environment at Canada Goose. You will serve as a bridge between business stakeholders, technical teams, and leadership to deliver cutting-edge data solutions using Azure Fabric. You will manage the intake of requests, prioritizing workload, and collaborating cross functionally to ensure technology driven solutions deliver value for employees, consumers, and the business. As a critical member of the Data Architecture, Automation & AI team, this role requires a deep understanding of data ecosystem, strong analytical skills, and excellent communication abilities. What You'll Do: Lead and manage the business planning of Data Architecture, Automation & AI, overseeing all technology development related to Azure Fabric, collaborate with stakeholders to gather business requirements, define product vision, roadmap, and goals for data solutions, aligning with corporate priorities. Build, maintain and prioritize the product backlog to ensure features and deliverables provide maximum value to the business. Create clear project documentation, write actionable user stories, epics, and acceptance criteria, ensuring stakeholders’ needs are accurately translated into technical solutions. Conduct regular meetings to update stakeholders on progress, risks, and deliverables. Work closely with data engineering, data integration and data science teams to deliver scalable solutions, manage and prioritize team’s workload based on business needs. Liaise with external vendors and technology partners to ensure successful delivery and implementation of Azure Fabric related solutions. Monitor and track the development of technical solutions related to Azure Fabric (data pipelines, automation frameworks, integration workflows), ensuring deliverables are aligned with best practices and compliance guidelines. Identify opportunities for process enhancements, automation, and efficiency improvements across data lifecycle. Leveraging Azure Fabric tools for long-term scalability. Let's Talk About You: A post-secondary education in Computer Science, or Information Management or relevant experience. 4-5 years of experience as a Product Owner / Business Analyst or related role in data-centric projects, ideally within retail industry. Excellent computer skills and technical proficiency, proven track record of delivering technology driven solutions. Organized, with the ability to prioritize and multi-task. Experience in Agile methodologies, excellent communication, and interpersonal skills to manage cross-functional teams and stakeholders. Analytical mindset with the ability to translate complex data concepts into business value. Certified Scrum Product Owner is a plus. Strong professional experience with SQL. Experience with Microsoft Fabric tools and services (Azure Data Factory, Lakehouse and Data Lake) is a plus. Experience with cloud data architecture, ELT pipelines, data integration, and API-based solutions F

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