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Ralph Lauren Corporation seeks a data-driven Sr. Manager of Media Analytics to lead day-to-day measurement, reporting, and forecasting across digital and traditional channels. AI integration will enhance workflows and insights.
Collaboration with media, planning, finance and data science teams is essential to improve accuracy and ROI. The ideal candidate has deep experience in media analytics, marketing science, and cross-channel performance, with a strong track record in retail/eCommerce
Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands. At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.
We are seeking a strategic and data-driven Sr. Manager of Media Analytics to lead day-today media measurement, performance analysis, and reporting across key channels. This role will help turn campaign and channel data into actionable insights that improve media effectiveness and support smarter investment decisions. The ideal candidate is AI native, bringing strong experience in media analytics, marketing measurement, and cross-channel performance analysis. Critical to the role is the ability to integrate AI to improve workflow and output. You will partner closely with media, business planning, finance, and data science teams to improve reporting, strengthen forecasting, support testing and attribution, and ensure media investments are measured consistently and effectively.