Director of Distribution & Logistics, Analytics, and Decision Intelligence

levistraussandco; United States; Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

GenAI adoption programs

Job summary

Levi Strauss & Co seeks a Director of Distribution & Logistics Analytics & Decision Intelligence to lead the global analytics strategy across its D&L network. You will transform operational challenges into scalable data products, insights, predictive analytics, and AI-enabled decision support to improve service, cost, and resilience.

You will partner with Global and Regional D&L leaders, analytics, product, and engineering teams to define priorities, standardize KPIs, and accelerate adoption of

Qualifications

• Bachelor's degree required; advanced degree preferred.
• 10+ years in distribution, logistics analytics, or digital product leadership.
• Experience leading enterprise-scale analytics and AI initiatives.
• Retail/apparel or omnichannel experience preferred.

Responsibilities

• Own the global D&L Analytics & Decision Intelligence roadmap and priorities.
• Partner with global and regional D&L leaders to translate needs into data products.
• Lead analytics across inbound logistics, sustainability, 3PL, DC ops, and fulfillment.
• Define enterprise KPIs and governance for global consistency.
• Develop scalable data products and semantic-layer capabilities.
• Drive GenAI adoption and AI-enabled decision support across SC.

Skills

Leadership

Product leadership

Analytics strategy

AI/GenAI

Stakeholder management

Education

MBA

MS in Analytics

Bachelor's degree

Tools

GCP

Looker/LookML

Power BI

Job description

San Francisco, CA or Remote-US

About the Role

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 .

What You'll Do

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.

Lead analytics across:

• 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.

What You'll Bring

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.

Distribution & Logistics Expertise

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.

Analytics, Data & Technology Leadership

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 technologies.

Ability to challenge technical designs, drive prioritization decisions, and ensure business adoption of delivered solutions.

Advanced Analytics & AI

Demonstrated experience identifying and scaling predictive, prescriptive, optimization, generative AI, or agentic AI use cases.

Strong judgment in determining when dashboards, models, optimization engines, automation, or AI solutions are the most effective approach.

Product Leadership

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.

Leadership & Influence

Enterprise mindset with the ability to balance strategic thinking and hands‑on execution.

Experience leading through influence in highly matrixed organizations.

Strong talent‑development, coaching, and change‑management capabilities.

Comfortable navigating ambiguity, driving alignment, and creating accountability across diverse stakeholders.

Communication & Executive Presence

Excellent executive communication, storytelling, and facilitation skills.