Director of Distribution & Logistics, Analytics, and Decision Intelligence

San Francisco, CA or Remote-US

As Director, Distribution & Logistics Analytics & Decision Intelligence, you will lead the global strategy, roadmap, and delivery of analytics, decision intelligence, and AI-enabled solutions across our Distribution & Logistics (D&L) network. You will transform operational challenges into scalable data products, insights, predictive analytics, and decision-support capabilities that improve service, cost, efficiency, resilience, and sustainability. As the senior business product leader for D&L analytics, you will partner with Global and Regional D&L leaders, Supply Chain Planning & Analytics, Product, Engineering, and Data & Analytics teams to define analytics priorities, standardize KPIs, shape data products and semantic-layer capabilities, and accelerate adoption of AI-driven decision-making solutions.

This role reports to the VP, Supply Chain Planning & Analytics.

Own the global D&L Analytics & Decision Intelligence roadmap, prioritizing opportunities based on business impact, scalability, and user needs.

Serve as the strategic analytics partner to global and regional Distribution & Logistics leaders, translating operational challenges into actionable insights and technology-enabled solutions.

• Inbound logistics and imports
• Supply chain sustainability
• Carrier and 3PL performance
• Distribution center operations
• Outbound transportation and omnichannel fulfillment

Define and govern enterprise D&L KPIs, metrics, and business definitions to drive global consistency and transparency.

Partner with Data & Analytics and Engineering teams to develop scalable data products, semantic-layer capabilities, and self-service analytics solutions.

Drive the identification and implementation of advanced analytics, AI, and decision intelligence use cases, including predictive risk, exception management, scenario planning, optimization, and automated decision support.

Lead cross-functional product teams from discovery through deployment, adoption, and value realization.

Establish change management and adoption strategies that maximize business impact.

Build, coach, and develop a high-performing global analytics organization.

Champion the use of GenAI and intelligent agents to enhance productivity and accelerate decision‑making across Supply Chain.

Education:

Bachelor's degree in Supply Chain Management, Logistics, Engineering, Operations, Analytics, Business, or a related field. Advanced degree (MBA, MS, or equivalent) preferred.

Experience:

10+ years of progressive leadership experience in distribution, logistics, supply chain analytics, digital product management, transformation, or related fields. Experience leading enterprise-scale analytics, data, AI, or digital transformation initiatives. Retail, apparel, consumer products, or omnichannel commerce experience strongly preferred.

Deep understanding of end-to-end distribution and logistics operations, including:

• Inbound logistics and imports
• Freight forwarders, brokers, carriers, and 3PL management
• Distribution center operations and inventory flow
• Transportation and fulfillment across e-commerce, retail, and wholesale channels
• Familiarity with Transportation Management Systems (TMS), Warehouse Management Systems (WMS), and modern supply chain technologies

Strong ability to translate operational processes and business requirements into scalable analytics and data-product solutions. Experience with cloud data platforms, modern analytics architectures, semantic-layer concepts, governed metrics, data quality, and data governance. Working knowledge of Google Cloud Platform (GCP), Looker/LookML, Power BI, analytics platforms, and AI…