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Product Manager, Product & Merchandise Analytics

Vuori
Carlsbad, USA
Full-time
Onsite
USD 137300-176610 yearly
Discovered 3 days ago
Product managementProduct and merchandising analyticsRetail and product lifecycle analyticsStakeholder managementRequirements definitionMetric definition

Full Job Posting

About Vuori

Vuori makes athletic apparel designed for movement and sweat with a casual aesthetic for everyday life, inspired by an active coastal California lifestyle.

Role overview

Product Manager in the Product & Merchandising Analytics pod, supporting Product Development, Merchandising, Merchandise Planning, Wholesale, and Supply Chain in partnership with ERP and business systems teams.

Partner with the Director on the analytics roadmap and lead initiatives from discovery through delivery and adoption.

Analytics work supports product cost and margin, assortment strategy, planning, distribution, and inventory management.

Responsibilities

  • Lead discovery, prioritize business-value opportunities, and translate business questions into scoped requirements, metrics, data needs, acceptance criteria, and success measures.
  • Own the backlog and collaborate with engineers and reporting developers on sprint planning, scope decisions, and issue resolution.
  • Connect relevant product, assortment, planning, sales, inventory, purchase order, and ERP data; resolve definition conflicts and validate results.
  • Coordinate testing, rollout, adoption, post-launch improvements, and retirement of reporting that is no longer needed.
  • Manage cross-team dependencies and communicate priorities, progress, tradeoffs, risks, and decisions.
  • Explore AI-enabled insights and workflow automation, prototyping and validating ideas with Engineering and DS&AI as appropriate.

Qualifications

  • 5+ years of experience in product management, analytics, BI, or a senior analyst role.
  • Experience ideally supporting product, merchandising, planning, wholesale, or supply chain functions.
  • Strong stakeholder management and ability to align competing cross-functional needs.
  • Very strong written and verbal communication across business and technical audiences.
  • Strong understanding of retail and product lifecycle analytics, including assortment, seasonality, product cost, margin, sell-through, inventory productivity, and demand and supply planning.

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