跳至内容

Ralph Lauren 在全球 14 个国家/地区设有 40 多个办事处。我们的每一处办公地点都展现着品牌独特的企业文化,同时融合了当地丰富多元的文化特色。无论您加入哪里的团队,您都会与一群敬业、投入且专注的伙伴并肩协作,共同践行 Ralph 的愿景,推动品牌与业务的持续发展。

公司总部

纽约州纽约市麦迪逊大道 650 号,邮编
10022

全球办事处

  • 纽约
  • 東京
  • 巴黎
  • 米兰
  • 巴拿马城
  • 新泽西州
  • 香港
  • 伦敦
  • 佛罗伦萨
  • 首尔
  • 北卡罗来纳州
  • 上海
  • 日内瓦
  • 马德里
  • 悉尼
  • 多伦多
  • 新加坡
  • 斯德哥尔摩
  • 慕尼黑
  • 沃特福德(屈福特)

依據以下條件篩選工作

121-126 的 169 结果

  • Senior Clienteling Manager 1:1, APAC

    尖沙咀, Kowloon, Hong Kong SAR #W177183 Retail

    Key Responsibilities Partner with the Head of Clienteling & CIX, APAC to define and evolve the regional 1:1 clienteling strategy Develop and maintain APAC-wide clienteling frameworks, playbooks, and best practices Support markets in...

  • Senior Clienteling Manager 1:Many, APAC

    尖沙咀, Kowloon, Hong Kong SAR #W177186 Retail

    Key Responsibilities Define and lead the APAC CRM and 1:Many clienteling strategy aligned to global CIX frameworks and APAC commercial priorities Develop annual CRM and lifecycle plans aligned to brand calendars, trading moments, and lifecycle needs Own regional...

  • Senior Copy Manager

    纽约, New York, United States #W176677 Communications & Corporate Affairs

    Creative Direction & Concept DevelopmentLead copy concepting in partnership with Brand Creative Directors, shaping seasonal narratives and campaign platforms for women’s categories.Translate creative vision into clear, compelling language across campaigns, editorials, and brand...

  • Senior Data Engineer

    班加罗尔, Karnataka, India #W163157 Information Technology

    Data Pipeline Architecture and DevelopmentDesign and build scalable, high-performance ETL and ELT pipelines that transform raw enterprise data into analytics-ready datasets.Lead the development of reliable batch and near real-time data processing frameworks supporting operational reporting and...

  • Senior Data Engineering Manager-1

    班加罗尔, Karnataka, India #W176748 Information Technology

    1. Data Engineering Delivery• Lead end to end delivery of data pipelines and curated datasets supporting enterprise data products.• Drive predictable execution aligned to sprint and release plans in partnership with Product and Delivery leadership.• Establish and enforce engineering standards for...