Ralph Lauren Director, Global Logistics Data & Analytics

Company Description

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 Director of Global Logistics Data & Analytics leads the strategy, execution, governance, and transformation of analytics across the Global Logistics organization. This role turns logistics data into decision intelligence that improves service, reduces cost, increases visibility, accelerates execution, and supports long-term supply chain transformation. This role requires a leader who can operate across supply chain strategies, logistics operations, enterprise data platforms, AI adoption, data product ownership, executive communication, and global team leadership.

• Analytics Strategy & Leadership
• Define and execute a multi-year Global Logistics Analytics strategy aligned to Logistics priorities, transformation goals, and regional needs.
• Establish the roadmap for operational reporting, executive scorecards, predictive insights, data products, and AI-enabled capabilities.
• Partner with senior leaders across Logistics, Technology, Finance, and Distribution to identify high-value analytics opportunities.
• Translate business priorities into measurable analytics initiatives with clear outcomes, owners, timelines, and value realization measures.
  2. Supply Chain Intelligence & Optimization
• Lead analytics across the end-to-end logistics flow from supplier origin through distribution, transportation, final delivery, and customer arrival.
• Develop decision-support capabilities for transportation, freight cost, carrier performance, capacity, lead time, inventory flow, productivity, and network performance.
• Connect logistics execution to enterprise outcomes including service, margin, working capital, inventory availability, and customer experience.
• Drive predictive and prescriptive analytics to anticipate risks, identify cost opportunities, reduce variability, and improve planning decisions.
  3. Data Products & Data Governance
• Serve as owner and strategic product leader for the Logistics Analytics data product portfolio including product ownership, support, analysis, development, and testing.
• Define, develop, and execute the Analytics technology roadmap governance for logistics data products across transportation, distribution, inventory movement, shipment tracking, and cost performance.
• Establish standards for certified KPIs, data definitions, metadata ownership, source-system traceability, and data quality management.
• Partner with Data & Analytics and Technology teams to ensure logistics data assets are scalable, governed, secure, reusable, and sustainable.
• Artificial Intelligence, Automation & Advanced Analytics
• Lead the AI and advanced analytics agenda for Global Logistics, including use case identification, prioritization, governance, adoption, and value tracking.
• Champion practical AI applications such as predictive risk detection, document review, exception management, productivity automation, forecasting support, and executive summarization.
• Partner with Data Science, Technology, and business teams to move high-value AI concepts from idea to scalable production capability.
• Build AI literacy and adoption through education, governance, reusable playbooks, and business-led use case development.
• Business Intelligence & Executive Reporting
• Own the global logistics BI portfolio, including Power BI dashboards, operational scorecards, executive KPI views, ad hoc analytics, and scalable reporting products.
• Modernize fragmented reporting into governed, reusable, self-service analytics capabilities that reduce manual effort and improve decision speed.
• Develop executive-ready reporting that clearly communicates business health, risks, opportunities, and recommended actions.
• Manage reporting intake, prioritization, backlog governance, user adoption, and continuous improvement.
• Technology Transformation & Enterprise Programs
• Provide logistics analytics leadership for enterprise transformation programs including SAP S/4
  
  HANA, cloud analytics platforms, Azure data products, and data marketplace…