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Product Manager (Costing)

Insight Global

Vancouver

On-site

CAD 80,000 - 100,000

Full time

4 days ago
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Job summary

A leading recruitment company in Vancouver is seeking a Product Manager to join their Supply Chain Product Management team. This role involves driving a Costing initiative focused on data and analytics, requiring strong experience in managing analytics-driven products. The ideal candidate should have over 3 years of experience in product management, proficiency in data warehouse technologies, and familiarity with data visualization tools. This position is onsite and supports a diverse work environment.

Qualifications

  • 3+ years Product Management experience, being well-versed in agile environments.
  • Hands-on experience with analytics-focused projects for a minimum of six months.
  • Proficiency with data warehouse technologies (Snowflake preferred).
  • Expertise in at least one major data visualization tool (PowerBI preferred).
  • Experience in the apparel or retail industry.

Responsibilities

  • Drive the Costing initiative focused on Data and Analytics.
  • Collaborate daily with cross-functional teams to define priorities.
  • Translate business needs into actionable solutions and manage timelines.

Skills

Product Management
Agile environments
Data visualization (PowerBI)
Data warehouse technologies
SQL
Cross-functional collaboration

Tools

Confluence
Jira
Job description
Job Description

Insight Global is looking for a Product Manager to join an enterprise retail company onsite in Vancouver, BC (4 days per week). You will be joining the Supply Chain Product Management team and help solve complex Supply Chain challenges by operating as a thought partner to the business and delivering tangible software products across every stage of the product lifecycle. This role will be responsible for driving the Costing initiative, initially focused on Data and Analytics, with potential to expand into additional workstreams. In this position, you will collaborate daily with cross‑functional teams to define priorities, gather requirements, and translate business needs into actionable solutions. You’ll manage timelines, oversee development progress, and ensure successful delivery of analytics‑driven products that optimize costing processes. The ideal candidate will have strong experience in analytics projects, data warehouse technologies, and visualization tools, along with a proven ability to thrive in ambiguous environments.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters.

Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements
  • 3+ years Product Management experience, being well‑versed in agile environments and tools [Confluence, Jira (features, epics, user stories)]
  • Hands‑on experience supporting at least one analytics‑focused project for a minimum of six months
  • Proficiency with data warehouse technologies (Snowflake preferred)
  • Expertise in at least one major data visualization tool (PowerBI preferred)
  • Apparel or retail industry experience (ecommerce, brick and mortar, etc.)
  • Proven ability to work cross‑functionally in ambiguous environments, with examples of success
  • Familiarity with data science tools and current trends
  • SQL experience
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