Director Supply Chain Business Analytics & Intelligence - Network Optimization
Compensation
Not disclosed
Location
Kennewick, WA, USA (Kennewick Office)
Work setup
Not specified
Seniority
Not specified
Employment
Full time
Experience
5+ years
Category
Logistics
Posted
Skills
analytics
business-intelligence
cloud
coupa
data-pipelines
data-science
erp
machine-learning
performance-management
powerbi
sap
statistics
strategic-planning
tableau
Must have
10 years of progressive experience in supply chain analytics, network design, business intelligence, data science, or supply chain planning required, including 5 years in analytics leadership with peo
Demonstrated success leading network design and optimization studies and translating results into executed footprint, sourcing, or distribution changes
Strong financial acumen with the ability to develop and evaluate total delivered cost and working capital models, translating network decisions into clear P&L and cash flow impacts
Partner effectively with Commercial teams and cross-functional teams to design network scenarios that support channel and category strategies across global markets
Demonstrated ability to synthesize complex, multi-variable trade-offs and communicate recommendations to executive leadership in a clear, actionable manner that enables timely decision making
Working knowledge of network optimization tools and methodologies with the ability to direct modeling efforts, challenge assumptions, validate outputs, and translate insights into actionable business
Advanced capability across descriptive, diagnostic, predictive, and prescriptive analytics; deep experience with BI tools (Power BI, Tableau, or similar) and advanced Excel
Experience with enterprise systems (ERP, planning, or data platforms); SAP preferred
Experience building analytics governance, data standards, and operating models
Nice to have
Hands‑on experience with supply chain modeling and optimization platforms (e.g., Coupa/Llamasoft Supply Chain Guru, AIMMS, Optilogic) and digital twin approaches
Strong foundation in operations research, statistics, or applied mathematics, including deterministic and stochastic optimization
Food manufacturing, CPG, agriculture, or other perishable/temperature‑controlled supply chains, including multi‑plant, multi‑DC, and global export network structures
Sustainability, waste reduction, and responsible sourcing analytics; scaling optimization and ML systems across large physical footprints
Full description
Title: Director Supply Chain Business Analytics & Intelligence - Network Optimization
Location: Statewide Multi Use, ID
Job Requisition ID: Req-271915
Time Type: Full time
About Lamb Weston
You’ve probably enjoyed our fries without even knowing it! As a leading manufacturer in our industry, we inspire and bring people together with foods they love and trust. Our customer base includes international food service providers, restaurants, and households in over 100 countries around the world.
A highly innovative global corporation with a start-up mindset, we empower every individual to make a genuine difference. You’ll gain access to hands-on training to fuel your growth and success, explore opportunities for new solutions, and you’ll join a winning team of 10,000+ people all dedicated to raising the bar – together.
If you have a strong drive for results, a desire to help us bring the world together through our fries, and are ready for a fresh challenge, we want to hear from you.
Job Description Summary
Lead the analytical engine that drives Lamb Weston's network optimization decisions across footprint, sourcing, and distribution flow, and translate that work into business action, with a clear cost-to-serve and capital efficiency objective. The Director of Supply Chain Business Analytics & Intelligence is responsible for the strategic development and application of advanced analytics, optimization, and business intelligence capabilities that enhance the performance of Lamb Weston’s end-to-end supply chain network. This role provides enterprise leadership for network design and optimization, leveraging sophisticated analytical models to inform critical decisions regarding manufacturing footprint, capacity investments, sourcing strategies, inventory deployment, and distribution flows. In partnership with Supply Chain, Operations, Finance, IT, and Commercial teams, the Director translates complex data into actionable insights that improve service, cost, inventory efficiency, and supply chain resilience, while advancing enterprise capabilities in network analytics, performance management, and decision support.
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 (cost to serve, capacity utilization, lead time, inventory positioning, carbon footprint) and recommend the optimal balance to executive leadership
Director Supply Chain Business Analytics & Intelligence - Network Optimization at Lamb Weston (Kennewick, WA, USA (Kennewick Office)) — aijobsearch
Build a repeatable scenario‑modeling capability 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 — alternate sourcing, redundant capacity, re‑routing — through "what‑if" 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
Strategic Planning, Analytics & Decision Support
Provide analytical insights that optimize network performance, capacity utilization, and supply chain flows across the manufacturing and distribution network.
Lead the development of forecasting, optimization, and decision-support capabilities that improve planning, investment prioritization, and network strategy.
Develop data-driven long-range capacity plans (LRCP) aligned to growth strategies and product roadmaps, supporting executive decision-making through LRCP 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
Inventory, Service & Cost Optimization Analytics
Develop assortment and inventory optimization models balancing demand, capacity and storage constraints, freshness, and waste across raw materials, WIP, 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
Data, Systems & Digital Enablement
Partner with IT, Engineering, and data teams to deliver reliable data pipelines and scalable platforms that enable 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
Leadership, Stakeholder Collaboration & Business Impact
Build, develop, and lead a high‑performing, multidisciplinary team of analytics, data science, and network modeling professionals, setting clear 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 well‑defined analytical solutions with clear KPIs and ROI
Drive adoption and change management so models and network recommendations are embedded in operational workflows, fostering a culture of rigor, innovation, and operational excellence
Bachelor's degree in analytics, data science, operations research, industrial engineering, supply chain, business, or related field required; Master's or advanced quantitative degree preferred
Skills and Experience:
10 years of progressive experience in supply chain analytics, network design, business intelligence, data science, or supply chain planning 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 with the ability to develop and evaluate total delivered cost and working capital models, translating network decisions into clear P&L and cash flow impacts
Partner effectively with Commercial teams and cross-functional teams to design network scenarios that support channel and category strategies across global markets
Demonstrated ability to synthesize complex, multi-variable trade-offs and communicate recommendations to executive leadership in a clear, actionable manner that enables timely decision making
Working knowledge of network optimization tools and methodologies with the ability to direct modeling efforts, challenge assumptions, validate outputs, and translate insights into actionable business recommendations
Advanced capability across descriptive, diagnostic, predictive, and prescriptive analytics; deep experience with BI tools (Power BI, Tableau, or similar) and advanced Excel
Experience with enterprise systems (ERP, planning, or data platforms); SAP preferred
Experience building analytics governance, data standards, and operating models
Preferred Skills:
Hands‑on experience with supply chain modeling and optimization platforms (e.g., Coupa/Llamasoft Supply Chain Guru, AIMMS, Optilogic) and digital twin approaches
Strong foundation in operations research, statistics, or applied mathematics, including deterministic and stochastic optimization
Food manufacturing, CPG, agriculture, or other perishable/temperature‑controlled supply chains, including multi‑plant, multi‑DC, and global export network structures
Sustainability, waste reduction, and responsible sourcing analytics; scaling optimization and ML systems across large physical footprints
Physical Environment/Demands:
Some travel may be required; most work is performed in a temperature-controlled office environment
Incumbent may sit for long periods of time at a desk or computer terminal and use calculators, keyboards, telephone, and other office equipment during the normal workday
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. Stooping, bending, twisting, and reaching may be required
Industry-Competitive Benefits
Coupled with our compensation and bonus incentive programs, our benefits deliver rewards that are market competitive. Some of the most attractive elements of our benefit programs include:
Health Insurance Benefits - Medical, Dental, Vision
Flexible Spending Accounts for Health and Dependent Care, and Health Reimbursement Accounts
Well-being programs including companywide events and a wellness incentive program
Paid Time Off
Financial Wellness – Industry leading 401(k) plan with generous company contributions, Financial Planning Services, Employee Stock purchase program, and Health Savings Accounts, Life and Accident insurance
Family-Friendly Employee events
Employee Assistance Program services – mental health and other concierge type services
Benefits may vary based on location, job role/level, job status, and/or the terms of any applicable collective bargaining agreements.
Anticipated Close Date
The anticipated close date is a good faith estimate for when this job will be closed. Some jobs may be unposted or filled earlier or later than the Anticipated Close Date depending on interview processes and business needs.
Anticipated Close Date: 11/30/2026
Pay Transparency
In compliance with applicable state and local laws, Lamb Weston has opted to include a reasonable estimate of the compensation for this role. This compensation is specific to this position and takes into account a number of variables. Actual compensation may be higher or lower in the range posted based on various factors, including, but not limited to, job duties, experience and expertise. A candidate's work location could also impact the actual compensation being outside of the range to reflect local cost of labor. A reasonable annual estimate of the range for this role is listed below.
Pay Rate or Range: $131,130.00 - $196,660.00
Equal Opportunity Employer
Lamb Weston is an Equal Opportunity Employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status or any other protected factor under federal, state or local law