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Product Manager, Data and Analytics – Digital

Remote / Online - Candidates ideally in
Vancouver, BC, Canada
Listing for: Arcteryx.Com
Remote/Work from Home position
Listed on 2026-09-24
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Science Manager, IT Project Manager
Salary/Wage Range or Industry Benchmark: 108000 - 142000 CAD Yearly CAD 108000.00 142000.00 YEAR
Job Description & How to Apply Below

Your Opportunity at ARC’TERYX:

As the Product Manager, Data and Analytics –Digital, you assist our Digital team with foundational and exploratory projects involving our sales, people or other applicable data within the business, involving extracting, analyzing, and visualizing data points. You manage all aspects of projects, from concept through to execution, working closely with business stakeholders, development teams and/or vendors, coordinating efforts of multi-disciplinary teams to execute high quality and on‑time deliverables.

This role is based out of our North Vancouver office and is open to remote work (on Pacific Standard Time hours). Candidates must be eligible to work in Canada.

Meet Your Future Team:

The Data and Analytics team collaborates closely with business partners and internally within our team to build scalable products for consumptions via standard reporting mechanisms. We as a unit are responsible for understanding the business needs and implementing standardized solutions.

Responsibilities
  • Managing and planning work, resourcing, work prioritization, process alignment and issue resolution for concurrent projects
  • Understanding the business requirements related to reporting (data products/dashboards) for the Digital business or otherwise indicated
  • Assessing the project requirements, creating detailed project plan, and aligning the tasks required for the smooth delivery of the project
  • Planning, facilitating and managing workshops with business stakeholders, internal architects, engineering and other teams as required
  • Reviewing project schedules with the Data and Analytics leadership and all stakeholders that will be affected by project activities
  • Monitoring the progress of projects and making adjustments as necessary to ensure successful completion; consolidate and report project status on a regular basis
  • Providing guidance and support to the team members and/or help them unblock the tasks, leading the agile process to refine and groom the backlog stories with other stakeholders
  • Engaging with agile scrum methodology, tools, and templates while continually improving them
  • Facilitating and managing stakeholder engagement
  • Developing, updating, and embedding your extensive expertise in business areas and technologies in scope within the Data and Analytics team
  • Leading a team of data enthusiasts to deliver projects for Digital or other groups as needed
  • Organizing and leading product demonstration sessions, coordinating user training, arranging reporting requirements that align with business processes and decision making
  • Being the face of Data and Analytics team with the business and advocating our products, change management etc.
  • Assisting the Data and Analytics leadership team with other tasks and projects as required
Qualifications and Experience
  • You have a bachelor’s degree in Business, Information Systems, or the equivalent field
  • You have 5+ years of experience as a Product Manager, working with Digital teams (ecommerce, guest analytics, or similar) and/or Data Analytics role, with 1+ year experience leading a team
  • You have strong understanding of ecommerce platforms, digital analytics tools, and digital business models etc.
  • You have experience working on the Strategy with the leaders to bring value to the Digital Business through Data & Insights
  • You are a strategic thinker and have experience leading a team with different skills and demographics
  • You have experience with working in Agile/Waterfall methodologies
  • You have experience with learning and understanding new business process and business needs
  • You are familiar with the Data and Analytics product lifecycle
  • You possess a high level of analytical and critical thinking
  • You have strong knowledge of Data Analytics Platforms and tools like…
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