AI-Driven Ecommerce Data Specialist

Vans; Kreis Stabio; Vor Ort; CHF 120.000 - 150.000; Teilzeit

Benefits dieser Stelle

On site gym

50% discount on VF brands

Break out areas with hot drinks

Zusammenfassung

VF Corporation seeks an eCommerce Product Data Specialist to join Vans team in Stabio, Switzerland, on a 9-month temporary contract. You will lead the transformation of how we build and manage our ecommerce catalogue using data and AI to onboard and enrich assortments.

Collaborating with stakeholders, you will create scalable data workflows, merge datasets from InRiver PIM and other sources, enable SEO-optimized PDPs, and build dashboards to monitor data quality and publication velocity across

Qualifikationen

• University degree in data/CS/engineering or related field.
• Experience with large datasets and PIM systems.
• Experience using AI/GenAI for content automation and data enrichment.
• 2–4 years in data-focused ecommerce or digital roles.

Aufgaben

• Automate onboarding of seasonal assortments with scalable data workflows.
• Merge and maintain product datasets from multiple sources for a single truth.
• Leverage AI to generate SEO-optimized product descriptions and enrich PDPs.
• Develop dashboards to monitor data accuracy, catalog completeness, and publication velocity.
• Own product attributes management and taxonomy for discoverability and customer experience.
• Define product categories and solve for scalable multi-marketplace expansion.
• Standardize onboarding processes across digital platforms with automation.
• Develop understanding of Vans products to improve storytelling and UX.

Kenntnisse

Data analysis

Relational databases

PIM systems

AI/GenAI tools

Excel

SQL

Python

Automation

Communication

Ausbildung

Bachelor's or Master's in Data/CS/Engineering or related field

Tools

InRiver PIM

Excel

SQL

Power Query

Python

Jobbeschreibung

VF Corporation seeks an eCommerce Product Data Specialist to join Vans team in Stabio, Switzerland, on a 9-month temporary contract. You will lead the transformation of how we build and manage our ecommerce catalogue using data and AI to onboard and enrich assortments.

Collaborating with stakeholders, you will create scalable data workflows, merge datasets from InRiver PIM and other sources, enable SEO-optimized PDPs, and build dashboards to monitor data quality and publication velocity across