Ralph Lauren Director, Global Logistics Data & Analytics

Polo Ralph Lauren Factory Store

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.
Position Overview
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.
Essential Duties & Responsibilities
1. 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. 4. 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. 5. 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. 6. Technology Transformation & Enterprise Programs · Provide logistics analytics leadership for enterprise transformation programs including SAP S/4HANA, cloud analytics platforms, Azure data products, and data marketplace initiatives. · Represent Logistics in technology design, data migration, reporting modernization, platform selection, architecture, and change management discussions. · Ensure new capabilities align to logistics business needs and preserve data quality, KPI continuity, operational visibility, and business ownership. · Partner with IT and external providers to deliver analytics capabilities with strong governance and long-term sustainability. 7. Team Leadership & Organizational Development · Lead, coach, and develop a global analytics organization spanning managers, analysts, engineers, product owners, consultants, and delivery partners. · Build a high-performing culture focused on business partnership, ownership, curiosity, analytical rigor, communication, and measurable impact. · Strengthening capabilities in analytics strategy, BI, data engineering, AI, product ownership, governance, and supply chain domain expertise. · Establish clear roles, decision rights, prioritization routines, delivery standards, escalation paths, and cross-regional collaboration. 8. Financial, Vendor & Portfolio Management · Manage analytics operating and capital budgets, including project investments, managed services, consultants, software, and platform-related spend. · Build business cases for analytics, automation, AI, and platform investments with clear value assumptions and measurable outcomes. · Lead vendor relationships from strategy and SOW development through delivery, governance, issue resolution, and value realization. · Prioritize the analytics portfolio based on business value, urgency, complexity, dependencies, capacity, and enterprise alignment.
Experience, Skills & Knowledge
· 7+years Experience in logistics data & analytics, supply chain analytics, BI, data products, enterprise analytics, or transformation leadership. · 2+years Experience leading teams, including managers, analysts, engineers, product owners, consultants, or cross-functional delivery teams. · Strong logistics domain knowledge across transportation, distribution, inventory flow, freight operations, trade compliance, network performance, and service-level management. · Proven ability to define analytics strategy, build roadmaps, manage portfolios, and deliver business value through data and technology-enabled solutions. · Experience with enterprise BI and cloud analytics tools such as Power BI, Azure, Databricks, SQL, Qlik, SAP, or similar platforms. · Strong executive communication, stakeholder management, vendor management, financial planning, transformation, and change leadership skills. · Preferred advance degree in Analytics, Supply Chain, Data Science, Product Management, Technology, or related field. · Experience with SAP S/4HANA, ERP modernization, cloud data platforms, data marketplace programs, or enterprise data products. · Experience implementing AI, machine learning, generative AI, intelligent automation, or agentic workflows in a business environment. · Retail, apparel, consumer products, omnichannel, global distribution, or relevant professional certifications preferred. · Strategic thinker who connects analytics investments to enterprise supply chain outcomes. · Strong operator who turns ambiguous priorities into clear roadmaps, ownership, and measurable results. · Influential partners across Logistics, Supply Chain, Finance, IT, Data & Analytics, and executive leadership. · Change leader who drives adoption of modern analytics, AI, data products, and self-service reporting. · Talent builder and governance-minded leader who values data quality, KPI consistency, documentation, and sustainable support models. · This role requires approximately 10% to 25% of global travel. · Ability to work across and support multiple global time zones. · Hybrid; 2 days/wk min on-site presence expected based on business needs

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Vacancy posted 16 days ago

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