Director of Distribution & Logistics, Analytics, and Decision Intelligence

Levi Strauss & Co. • San Francisco, CA

2d • $168,000 - $245,000 • Hybrid

About The Position

The Director of Distribution & Logistics Analytics & Decision Intelligence leads the global strategy, roadmap, and delivery of analytics, decision intelligence, and AI-enabled solutions across Levi Strauss & Co.’s Distribution & Logistics network. The role transforms operational challenges into scalable data products, insights, predictive analytics, and decision-support capabilities to improve service, cost, efficiency, resilience, and sustainability.

As the senior business product leader for D&L analytics, this director partners with Global and Regional D&L leaders and teams in Supply Chain Planning & Analytics, Product, Engineering, and Data & Analytics. The role defines analytics priorities, standardizes KPIs, shapes data products and semantic-layer capabilities, and accelerates adoption of AI-driven decision-making solutions. It reports to the VP, Supply Chain Planning & Analytics.

The position is based at the company’s San Francisco headquarters on a hybrid schedule, typically requiring three days in the office per week, Tuesday through Thursday. Office attendance may vary with business needs. The expected starting salary is $168,000–$245,000 per year; pay within or outside the range may vary based on location and factors such as relevant education, qualifications, performance, and business needs. The position is full-time and is expected to be filled by 01/13/2027. Applicants must be legally authorized to work in the United States at the time of hire and must not require current or future employment visa sponsorship.

Requirements

• Bachelor’s degree in Supply Chain Management, Logistics, Engineering, Operations, Analytics, Business, or a related field.
• 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.
• 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; and 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.
• 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 technologies.
• Ability to challenge technical designs, drive prioritization decisions, and ensure business adoption of delivered solutions.
• Demonstrated experience identifying and scaling predictive, prescriptive, optimization, generative AI, or agentic AI use cases.
• Strong judgment in selecting dashboards, models, optimization engines, automation, or AI solutions as appropriate.
• Proven success leading cross-functional product teams from discovery through deployment, scale, and lifecycle management.
• Strong capabilities in prioritization, roadmap planning, stakeholder management, requirements definition, UAT, adoption, and value realization.
• Enterprise mindset and experience leading through influence in highly matrixed organizations.
• Strong talent-development, coaching, and change-management capabilities; comfort navigating ambiguity and creating accountability across diverse stakeholders.
• Excellent executive communication, storytelling, and facilitation skills, including the ability to connect operational leaders, analytics teams, engineers, product managers, and executives around shared business goals and outcomes.
• Strategic and systems thinking, combining operational expertise with a forward-looking perspective on analytics, AI, and digital transformation, and understanding how use cases connect to enterprise-wide data and technology strategy.
• Must be legally authorized to work in the United States at the time of hire and must not require current or future employment visa sponsorship.

Nice To Haves

• Advanced degree (MBA, MS, or equivalent).
• Retail, apparel, consumer products, or omnichannel commerce experience.
• Experience with Google Cloud Platform (GCP), Looker/LookML, Power BI, analytics platforms, and AI technologies is described as working knowledge.

Responsibilities

• Own the global D&L Analytics & Decision Intelligence roadmap, prioritizing opportunities based on business impact, scalability, and user needs.
• Serve as a strategic analytics partner to global and regional Distribution & Logistics leaders, translating operational challenges into actionable insights and technology-enabled solutions.
• Lead analytics across inbound logistics and imports, supply chain sustainability, carrier and 3PL performance, distribution center operations, and 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.
• Identify and implement 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 GenAI and intelligent agents to enhance productivity and accelerate decision-making across Supply Chain.
• Balance strategic thinking with hands-on execution, drive alignment and accountability across stakeholders, and make decisions about scaling, localizing, enhancing, or sunsetting analytics and AI solutions based on business impact.

Benefits

• Base pay
• Incentive plans
• 401(k) matching
• Paid leave
• Health insurance
• Product discounts
• Other benefits designed to support health, financial goals, and work-life balance

What This Job Offers

• Job Type: Full-time
• Career Level: Director