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Ralph Lauren tiene 40 oficinas en 14 paises en total. Cada una de nuestra localizaciones refleja nuestra cultura corporativa única, así como la diversidad de nuestras regiones. Allí donde te incorpores a nuestra compañía, encontrarás equipos que trabajan con dedicación y compromiso para hacer realidad la vision de Ralph y llevar adelante nuestras marcas y nuestro negocio.

Sede corporativa

650 Madison Avenue,
New York, NY 10022

Oficinas globales

  • Nueva York
  • Tokio
  • París
  • Milán
  • Ciudad de Panamá
  • Nueva Jersey
  • Hong Kong
  • Londres
  • Florencia
  • Seúl
  • Carolina del Norte
  • Shangai
  • Ginebra
  • Madrid
  • Sídney
  • Toronto
  • Singapur
  • Estocolmo
  • Múnich
  • Watford

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13-18 de 210 resultados

  • Assistant Buyer

    Tsim Sha Tsui, Kowloon, Hong Kong SAR #W175976 Merchandising & Planning

    1) Support the development of the range within brand DNA and financial target: Analyze past sales to support the development of the new season strategy Work with the division manager to determine the optimum way to invest OTB by class Build the range based on the past season...

  • Associate Buyer

    Londres, London, United Kingdom #W180337 Merchandising & Planning

    Category Ownership Own end to end process of product selection for owned categories, ensuring relevant and financially viable ranges that link back to departmental strategy and brand direction Project unit requirements that will deliver the financial framework and balance KPI’s (intake margin,...

  • Associate buyer

    Londres, London, United Kingdom #W178716 Merchandising & Planning

    Direct accountabilities Assort, price and forecast the lineMaintain the line in the IT systemOrder & track samples ordersTrack business performance weekly Benchmark decisions against competition & broader market landscapePrepare & present the assortment at line opening...

  • Associate Data Governance Manager

    Bangalore, Karnataka, India #W181054 Data Analytics

    Responsibilities: 1. Data Quality Monitoring & ResolutionOwn the data quality control surface across key data products and pipelines.Define, implement, and monitor automated data quality rules and checks using Soda or equivalent tooling.Investigate data quality issues, identify root...