Supply Chain Strategy Lead

Position Summary

The Supply Chain Strategy Lead provides advanced analytical expertise to support ADUSA's distribution and transportation network design, optimization, and modernization initiatives, while playing a key role in shaping the long-term direction of the organization's supply chain strategy.

Primary Duties and Responsibilities

• Translate ambiguous business problems into actionable insights using a combination of optimization models, scenario analysis, and strategic frameworks.
• Evaluate trade-offs across cost, service, inventory, and capacity through scenario modeling and cost-benefit analysis.
• Apply structured methodologies (e.g., process mapping, root cause analysis, optimization techniques) to support enterprise decision-making.
• Develop scorecards, dashboards, and define and measure KPIs to monitor network performance and track initiative success.
• Design and execute scenario analyses to evaluate trade-offs related to demand variability, labor and asset capacity, network changes, and service-level commitments.
• Provide recommendations that balance cost, service, and operational risk.
• Develop and enhance optimization models and analytical tools to support network design, routing, and inventory positioning.
• Leverage large datasets and advanced analytics to inform network decisions.
• Support the formulation and application of optimization models (e.g., linear programming, mixed-integer programming) to evaluate network scenarios and trade-offs.
• Support development and refinement of optimization models (LP, MILP, heuristics) for network design problems.
• Support scenario flexibility and analytics through structured data pipelines and modeling best practices.
• Support end-to-end execution of network design and optimization initiatives, from concept through implementation.
• Develop and manage workplans, milestones, and cross-functional coordination while identifying risks, dependencies, and mitigation strategies to maintain overall program health.
• Establish governance frameworks to support structured decision-making and accountability.
• Support capacity planning and engineering, analyzing network capacity constraints and evaluating facility expansions or network changes.
• Assess feasibility of network strategies using both engineering principles and financial considerations.
• Provide recommendations to improve throughput, utilization, and operational efficiency.
• Present complex analytical findings and strategic recommendations to executive leadership in a clear, structured, and compelling manner.
• Partner with cross-functional teams (Operations, Transportation, Finance, Real Estate, Engineering, etc.) to ensure alignment and feasibility of recommendations.
• Translate technical outputs into actionable business cases that support investment decisions.

Qualifications

• Minimum: Bachelor's degree in Supply Chain, Industrial Engineering, Operations Research, Business, or a related field.
• PREFERRED: Master's degree in Supply Chain, Business Administration, or a related discipline.
• Experience: 8-10+ years of experience in supply chain / network strategy, supply chain network design, operations, and/or process execution in grocery retail or related industry. 3+ years of consulting industry experience preferred.
• Experience with optimization, analytics, or technical modeling environments.
• Demonstrated experience with financial modeling, business case development, and scenario analysis, including trade-offs across cost, service, and capacity.
• Experience working on large, cross-functional Supply Chain programs, requiring leading without authority and partnership with operations, engineering, finance, IT, etc.
• Demonstrated experience developing and delivering compelling narratives for executive-level presentations and insights.
• Strong understanding of Supply Chain network design and flows, transportation routing, optimization models (objective functions, constraints), inventory optimization, simulation, and supply chain trade-offs.
• Advanced understanding of end-to-end supply chain network design, capacity planning, and operational feasibility assessment.
• Working knowledge of optimization and analytics tools (Python, R, SQL, etc.).
• Understanding of financial modeling and trade-off analysis.
• Project management and process improvement methodologies (Lean, PMP concepts).