Manager, Supply Chain Strategy
The Manager of Supply Chain Strategy will be responsible for:
- Applying optimization, decision science, and scenario analysis to complex network, warehousing, fulfillment, and asset-footprint questions
- Refining model formulation, constraints, and sensitivities to reflect real-world trade-offs
- Advancing GP’s network optimization capability by challenging legacy methods, strengthening model structure, and identifying new ways to apply evolving optimization platforms and decision-support capabilities at scale
- Developing and interpreting scenarios and trade-offs that show leaders the drivers, risks, and economic impact of network choices, and translating them into clear, actionable recommendations
- Leading long-term network and fulfillment strategy development, evaluating 3–5 year footprint decisions that optimize total landed cost while maintaining service and operational flexibility
- Identifying and prioritizing opportunities by defining the gap to potential, and partnering with analytics, planning, and process teams to embed optimization into decisions
- Identifying new modeling use cases and building repeatable, self-service tools that move optimization from one-off studies into everyday decisions
- Operating effectively in a dynamic, ambiguous environment, balancing multiple priorities while maintaining focus on the highest-value opportunities
About the Role
This role is ideal for a strong contributor and critical thinker who will understand, challenge, improve, and scale our network optimization model.
Responsibilities
Apply optimization, decision science, and scenario analysis to complex network, warehousing, fulfillment, and asset-footprint questions, refining model formulation, constraints, and sensitivities to reflect real-world trade-offs
Own and advance GP’s network optimization capability by challenging legacy methods, strengthening model structure, and identifying new ways to apply evolving optimization platforms and decision-support capabilities at scale
Develop and interpret scenarios and trade-offs that show leaders the drivers, risks, and economic impact of network choices, and translate them into clear, actionable recommendations
Lead long-term network and fulfillment strategy development, evaluating 3–5 year footprint decisions that optimize total landed cost while maintaining service and operational flexibility
Identify and prioritize opportunities by defining the gap to potential, and partner with analytics, planning, and process teams to embed optimization into decisions
Identify new modeling use cases and build repeatable, self-service tools that move optimization from one-off studies into everyday decisions
Operate effectively in a dynamic, ambiguous environment, balancing multiple priorities while maintaining focus on the highest-value opportunities
Requirements
Experience in supply chain strategy or network optimization; including building and applying optimization models to inform network design, sourcing, and fulfillment decisions
Hands-on experience using analytical programming languages and tools such as Python, R, SQL, Coupa Supply Chain Solutions, Lyric or similar platforms to build, enhance, automate, or scale decision models
Qualifications
- Bachelor’s degree or higher in Supply Chain, Operations Research, Industrial Engineering, Data Science, Analytics, or a related quantitative field
- Strong communication and storytelling skills, with the ability to translate complex analytics and model outputs into clear, actionable recommendations that influence cross-functional stakeholders and leadership decision-making
- Internal or external consulting experience
Skills
- Experience in supply chain strategy or network optimization
- Hands-on experience using analytical programming languages and tools
Benefits
Medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance
Pay
Details on pay will be provided during the interview process.
Schedule
The role is full-time and based in Atlanta, GA.