Head of Data & Analytics Platforms

Pay Range: The pay range for this job is $130900 - $266862 annually; actual pay is dependent on experience and geographic location.

Benefits:Base pay is only one part of our employee value proposition, which includes a robust benefits package, above-market time off, hybrid working arrangements, incentive compensation, where applicable, and varied learning opportunities.

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.

The Head of Data & Analytics Platforms plays a pivotal leadership role in advancing Ralph Lauren’s enterprise Data Strategy—one of the core enablers of the company’s Next Great Chapter:
Drive agenda. Ralph Lauren has articulated a multi‑year transformation strategy anchored in advanced technology, data, AI, and analytics as critical levers for long‑term growth, operational excellence, and brand value creation. The company is actively modernizing its core data and analytics platforms, scaling enterprise AI capabilities, and embedding data‑driven decision‑making across its global consumer ecosystem.

Ralph Lauren’s transformation spans predictive buying, demand forecasting, omnichannel personalization, digital commerce optimization, and elevated customer and associate experiences powered by enterprise‑scale data and AI. The organization leverages modern data platforms, advanced analytics, and machine learning to improve inventory efficiency, enhance product availability, optimize pricing, and enable real‑time consumer engagement across markets and channels—capabilities that directly reinforce the company’s integrated digital‑physical retail strategy and global omnichannel ambitions.

Within this context, the Head of Data, AI & Analytics Platforms is responsible for defining, building, and operating the enterprise platforms that power analytics, AI, and data products s leader owns the foundational data, analytics platform ecosystem—ensuring it is secure, resilient, scalable, cost‑efficient, and compliant, while enabling trusted, governed, and high‑performance data consumption across the business. The role is accountable for accelerating Ralph Lauren’s evolution toward a truly data‑driven, AI‑enabled enterprise by providing the underlying technology capabilities required to support global DTC growth, personalization at scale, advanced decision intelligence, and continuous innovation across the value chain.

This role ensures that data, analytics, and AI platforms deliver measurable business value, support operational excellence, and unlock new digital and AI‑powered capabilities across the enterprise. Acting as the connective tissue between Data Engineering, Decision Intelligence, Data Products, Governance, Security, and Technology partners, the Head of Data & Analytics Platforms translates strategic intent into scalable platform execution. The ideal candidate thrives at the intersection of enterprise architecture, cloud and data platforms, AI enablement, and business outcomes—bringing a strong balance of technical depth, operational rigor, and strategic leadership.

Within this context, the Head of Data & Analytics Platforms plays a pivotal role by design, govern, and optimize enterprise‑scale data and AI platforms…