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Lamb Weston

Global producer of frozen potato products

Director Supply Chain Business Analytics & Intelligence - Network Optimization

Supply Chain ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in analytics, data science, operations research, industrial engineering, supply chain, business, or a related field is required.
  • At least 10 years of progressive experience in supply chain analytics, network design, business intelligence, data science, or supply chain planning is required, including 5 years in analytics leadership with people-management responsibility.
  • Demonstrated success leading network design and optimization studies and translating results into executed footprint, sourcing, or distribution changes.
  • Strong financial acumen and ability to develop and evaluate total delivered cost and working capital models, translating network decisions into clear P&L and cash flow impacts.
  • Ability to partner effectively with Commercial teams and cross-functional teams to design network scenarios supporting channel and category strategies across global markets.
  • Ability to synthesize complex, multi-variable trade-offs and communicate actionable recommendations to executive leadership to enable timely decision-making.
  • Working knowledge of network optimization tools and methodologies, including directing modeling efforts, challenging assumptions, validating outputs, and translating insights into actionable recommendations.
  • Advanced capability across descriptive, diagnostic, predictive, and prescriptive analytics; deep experience with BI tools such as Power BI or Tableau and advanced Excel.
  • Experience with enterprise systems such as ERP, planning, or data platforms; SAP is preferred.
  • Experience building analytics governance, data standards, and operating models.

Responsibilities

  • Own the network optimization roadmap and enterprise digital twin spanning plants, distribution centers, transportation flows, and fulfillment nodes.
  • Lead future-state network design, determining optimal footprint, sourcing strategy, storage deployment, and flow paths across the global supply chain in partnership with functional leaders.
  • Quantify network trade-offs involving cost to serve, capacity utilization, lead time, inventory positioning, and carbon footprint, and recommend the optimal balance to executive leadership.
  • Build repeatable scenario-modeling capabilities to stress-test decisions against demand shifts, capital constraints, tariffs, and disruptions, and translate model outputs into executable plans with Manufacturing, Logistics, Procurement, and Commercial.
  • Model network resilience through alternate sourcing, redundant capacity, and rerouting scenarios and contingency plans for demand volatility, supplier risk, and capacity constraints.
  • Measure and report realized value of network optimization initiatives against committed savings and service targets.
  • Provide analytical insights to optimize network performance, capacity utilization, and supply chain flows across the manufacturing and distribution network.
  • Lead development of forecasting, optimization, and decision-support capabilities that improve planning, investment prioritization, and network strategy.
  • Develop data-driven long-range capacity plans aligned to growth strategies and product roadmaps, supporting executive decision-making through long-range capacity planning and S&OP/IBP processes.
  • Evaluate strategic alternatives, quantify trade-offs, and recommend actions that improve service, cost, inventory, and resilience outcomes.
  • Identify high-impact analytics and optimization use cases that improve customer service, total delivered cost, inventory investment, and working capital, aligned to supply chain strategy, the long-range capacity plan, and operational execution.
  • Develop assortment and inventory optimization models balancing demand, capacity and storage constraints, freshness, and waste across raw materials, work in progress, and finished goods, including optimal deployment and positioning across the network.
  • Quantify service, cost, and working capital trade-offs to support decisions on capacity, sourcing, network flows, and fulfillment strategies.
  • Partner with IT, Engineering, and data teams to deliver reliable data pipelines and scalable platforms for network modeling and critical decision-making.
  • Maximize value from BI platforms, network modeling tools, and supply chain systems to drive integrated end-to-end insights and improved business outcomes.
  • Guide production-grade optimization and advanced analytics solutions on modern cloud-native stacks, including deployment, monitoring, and retraining.
  • Build, develop, and lead a high-performing multidisciplinary team of analytics, data science, and network modeling professionals, setting standards for experimentation, production models, and model governance.
  • Serve as a trusted thought partner to Supply Chain and Operations leadership, translating ambiguous business problems into defined analytical solutions with clear KPIs and ROI.
  • Drive adoption and change management so models and network recommendations are embedded in operational workflows, fostering rigor, innovation, and operational excellence.

Desired Qualifications

  • A master's or advanced quantitative degree.
  • Hands-on experience with supply chain modeling and optimization platforms such as Coupa/Llamasoft Supply Chain Guru, AIMMS, or Optilogic, and digital twin approaches.
  • A strong foundation in operations research, statistics, or applied mathematics, including deterministic and stochastic optimization.
  • Experience in food manufacturing, consumer packaged goods, agriculture, or other perishable or temperature-controlled supply chains, including multi-plant, multi-distribution-center, and global export network structures.
  • Experience with sustainability, waste reduction, and responsible sourcing analytics, and scaling optimization and machine-learning systems across large physical footprints.

About the Company

Lamb Weston

Global producer of frozen potato products

Lamb Weston is a global food processing company that produces and distributes frozen potato products and related items. Its portfolio includes french fries, waffle fries, sweet potato fries, and other frozen potato items, along with appetizers and vegetable products, sold to restaurants, retailers, and other food-service customers worldwide. The product works by being manufactured at scale in plants, frozen or par-frozen, and shipped to customers ready for heating and serving. Lamb Weston differentiates itself through its large-scale, global supply network, specialized potato processing capabilities, and broad product range aimed at both food-service operators and retailers, enabling consistent quality and reliable delivery. The company’s goal is to be a trusted, high-volume supplier of frozen potato and related foods, meeting the needs of diverse customers around the world with efficient production and distribution.

Company size
501-1,000
Company stage
IPO
Headquarters
Eagle, ID
Founded
1950

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