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Canada Goose

Product Owner, Data & Integration (12-month contract)

Toronto, ON, Canada

Pay: $102,000.00 - $141,000.00 / year
Job type: Full-time
Experience: 4-5 years of experience as a Product Owner / Business Analyst or related role in data-centric projects, ideally within retail industry.
Posting language: English
Posted: Sep 27, 2026

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Original 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

Familiarity with Microsoft Azure Function Apps, Logic Apps, Azure API Management, and other middleware technologies is considered a strong asset.
Brand Ambassador for promoting continuous technical improvements and innovations

Strong organizational, writing, interpersonal and communication skills

Exceptional attention to detail and a high degree of accuracy

What’s in it For You?

A company built on Canadian roots and heritage
Your work is recognized with a comprehensive and competitive Total Rewards Program
Opportunities for career growth through numerous internal and external programs
Recognize and be recognized by your peers with our Goose Rewards & ICON Rewards
Be a part of CG Gives. Donation matching and paid volunteer time to help the organizations you care about
Access to tools and resources to support physical and mental health, embracing change and connecting with colleagues
Inspiring leaders and colleagues who will lift you up and help you grow

Salary Range:

$102,000.00 - $141,000.00 / year

About the salary range: We’re committed to being open and fair about pay. The range provided is intended as a guideline and does not represent a guaranteed offer. When we make an offer, we consider the responsibilities of the position, market data, and internal equity to ensure consistency across our team. Your actual offer will depend on your experience, skills, and alignment with the role.

Vacancy status: This posting represents an active vacancy for which we are currently hiring.

At Canada Goose, we believe that belonging goes beyond mere inclusion. It’s about being part of a community that values, supports, and empowers you. We thrive when we can be our authentic selves. Our community is built on empathy and the understanding that every individual’s experience is unique, and every voice is important. We also recognize that communities are ever evolving, and that our work is never done. At Canada Goose, belonging is more than just an ideal - it’s the key to unlocking our collective potential, taking us further together.

Canada Goose is an equal opportunity employer and is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act.

There are multiple ways to interview with us! If you require any interview accommodation for your interview, please e-mail us at HR@canadagoose.com.

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More about this job

Responsibilities

The Product Owner will lead and manage data automation and integration initiatives by bridging the gap between business stakeholders and technical teams. They are responsible for defining the product vision, managing the backlog, and overseeing the development of data solutions using Azure Fabric.

Requirements

Candidates must have 4-5 years of experience in a product owner or business analyst role within data-centric projects, preferably in the retail industry. A post-secondary education in Computer Science or Information Management is required, along with strong proficiency in SQL and cloud data architecture.

Skills

Product ownership
Data architecture
Azure Fabric
Data automation
SQL
Agile methodologies
Business analysis
Data engineering
Data integration
Data science
Project documentation
Stakeholder management
Cloud data architecture
ELT pipelines
API management
Technical leadership

Benefits

Total Rewards Program
Goose Rewards
ICON Rewards
Donation matching
Paid volunteer time
Physical and mental health support

Visa sponsorship

Not detected in the job text

Keywords

Product Owner
Data Architecture
Automation
AI
Azure Fabric
Azure Data Factory
Lakehouse
Data Lake
SQL
Agile
ELT Pipelines
API
Middleware
Retail
Data Integration
Business Analysis
Cloud Computing
Scrum
Product Backlog
User Stories
Epics
Acceptance Criteria
Data Lifecycle
Scalability
Compliance
Technical Solutions
Cross-functional Teams
Data Engineering
Data Science
Information Management

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