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Open nowPosted 6 days ago

Director of Distribution & Logistics, Analytics, and Decision Intelligence

Levi Strauss & Co.1,240 open roles

Pay
$168,000 – $245,000 a year
Where
HQ Office San Francisco CA USA
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Your applicationOpen nowDirector of Distribution & Logistics, Analytics, and Decision IntelligenceLevi Strauss & Co. · HQ Office San Francisco CA USA

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Levi Strauss & Co. postings stay open a median of 28 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 6 days ago

Levi Strauss & Co. median: 28 days open

The posting

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.
  • Ability to connect operational leaders, analytics teams, engineers, product managers, and executives around shared business goals and outcomes.

Strategic & Systems Thinking

  • Combines deep operational expertise with a forward-looking perspective on analytics, AI, and digital transformation.
  • Understands how individual use cases connect to an enterprise-wide data and technology strategy.
  • Makes thoughtful decisions about when to scale, localize, enhance, or sunset analytics and AI solutions based on business impact.

This is a hybrid work schedule based in our San Francisco, CA headquarters. You will be expected in office 3 days per week typically Tuesday-Thursday. Note, time in office can vary depending on business needs.

The expected starting salary range for this role is $168,000 - $245,000 per year. We may pay more or less than the posted range based on the location of the role. The amount a particular employee will earn within the salary range will be based on factors such as relevant education, qualifications, performance and business needs.

Levi Strauss & Co. (LS&Co.) offers a total rewards package that includes base pay, incentive plans, 401(k) matching, paid leave, health insurance, product discounts, and more designed to help you and your family stay healthy, meet your financial goals, and balance the demands of your work and personal life. Available benefits and incentive compensation vary depending upon the specifics of the role; details relating to a specific role will be made available upon request. Read more about our benefits here.

LS&Co. is an affirmative action and equal employment opportunity employer. We welcome and value people from diverse cultures, backgrounds, and experiences to make LS&Co. a collective success.

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. The company does not participate in the H-1B cap lottery or sponsor initial employment visas. Candidates with an existing H-1B visa that is eligible for transfer may be considered.

#LI-Hybrid

EOE M/F/Disability/Vets

LOCATION

San Francisco, CA, USA

FULL TIME/PART TIME

Full time

FILL DATE

This position is expected to be filled by 01/13/2027.

Current LS&Co Employees, apply via your Workday account.

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