Director D&L Analytics & Decision Intelligence (Remote)

levistraussandco

United States

Hybrid

USD 180,000 - 280,000

Full time

8 days ago

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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

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

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