跳至內容

Ralph Lauren 在全球 14 個國家設有超過 40 個辦公據點。每一個辦公地點都展現我們獨特的企業文化,同時也尊重並融入當地多元豐富的文化特色。 無論你加入的是哪個地區,你都會遇到一群專注、投入、充滿熱忱的團隊,一起實現 Ralph 的願景,推動我們的品牌與事業向前發展。

企業總部

650 Madison Avenue
New York, NY 10022

全球辦公室

  • 紐約
  • 东京
  • 巴黎
  • 米蘭
  • 巴拿馬城
  • 新澤西
  • 香港
  • 倫敦
  • 佛羅倫斯
  • 首爾
  • 北卡羅來納
  • 上海
  • 日內瓦
  • 馬德里
  • 悉尼(雪梨)
  • 多倫多
  • 新加坡
  • 斯德哥爾摩
  • 慕尼黑
  • 屈福特

按以下条件筛选职位

121-126 的 169 結果

  • 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

    紐約, 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

    班加羅爾, 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

    班加羅爾, 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...