eCommerce Product Data Specialist (Maternity cover 9-months)

VF Corporation
Switzerland
Workplace: OnsiteTemporaryFunction: Communications, PR & CommunitySkills: ["Communication","Collaboration","Analytical thinking","Detail orientation","Process building"]

Own and improve the way an eCommerce catalogue is built and maintained. You’ll automate seasonal assortment onboarding, build and unify product datasets from multiple sources (relational databases, InRiver PIM, Excel, feeds), and use AI/GenAI to generate SEO-optimized content and enrich PDPs. You’ll also develop reporting dashboards to track data accuracy and publication velocity, manage attributes and taxonomy, and support scalable onboarding across digital platforms.

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FursaFursa
VF Corporation
VF Corporation
1 day ago

eCommerce Product Data Specialist (Maternity cover 9-months)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Own and improve the way an eCommerce catalogue is built and maintained. You’ll automate seasonal assortment onboarding, build and unify product datasets from multiple sources (relational databases, InRiver PIM, Excel, feeds), and use AI/GenAI to generate SEO-optimized content and enrich PDPs. You’ll also develop reporting dashboards to track data accuracy and publication velocity, manage attributes and taxonomy, and support scalable onboarding across digital platforms.
Location: Switzerland
Workplace: Onsite
Employment Type: Temporary · 9 months
Job Function: Communications, PR & Community
Seniority: Mid level

Key Responsibilities

  • •Reimagine and automate the onboarding of seasonal assortments using scalable, data-driven workflows to reduce manual effort and speed time-to-site.
  • •Build, merge, and maintain product datasets from relational databases, InRiver PIM, Excel, and master data feeds to create a single source of truth for catalogue creation.
  • •Leverage AI to automate content production at scale, including generating SEO-optimized product descriptions and enriching product detail pages (PDPs).
  • •Create reporting tools and dashboards to monitor data accuracy, catalogue completeness, and product publication velocity, turning metrics into actionable insight.
  • •Own product attributes management and enrichment, define product categories and taxonomy, and extend standardized onboarding processes across other digital platforms.

Key Requirements

  • •A bachelor’s or master’s degree in Data, Computer Science, Engineering (or related), Economics, or equivalent experience.
  • •Strong data and database skills working with large datasets, relational databases, and PIM systems (e.g., InRiver) and merging sources into clean datasets.
  • •Hands-on experience using AI/GenAI tools to automate tasks such as SEO-optimized product copy, data enrichment, and quality checks.
  • •2–4 years’ experience in a data-focused eCommerce or digital role, with exposure to marketplaces, WHS, or B2B as a plus.
  • •Advanced Excel and MS Office proficiency; familiarity with SQL, Power Query, or Python is a strong plus.
Experience:E-commerceDigital marketplacesPIM
Education:
Skills:CommunicationCollaborationAnalytical thinkingDetail orientationProcess building
Languages:English
Tech Stack:AI/GenAISEOInRiverExcelMS OfficeSQLPower QueryPythonRelational databases

Company Brief

VF Corporation
Global apparel and footwear company that owns brands such as Vans, The North Face, Timberland, and Dickies. Designs, markets, and distributes branded lifestyle products through wholesale, retail, and e-commerce channels worldwide.
Industry: Fashion & Apparel
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Denver, United States
Founded: 1899
Glassdoor
Glassdoor: 3.7
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