About The Position

The Supply Chain Analytics & Process Improvement Lead develops and maintains supply chain dashboards, analytics, and management reporting across Procurement, Planning, Logistics, and Warehousing. The role establishes consistent KPI definitions, calculations, data sources, and reporting standards, analyzes performance trends, and works with functional leaders to turn data into actionable improvement priorities. The position leads cross-functional process improvement and standardization initiatives across the end-to-end supply chain. It applies Lean and structured problem-solving methods, identifies manual processes and data-quality issues, and supports the requirements, testing, and implementation of approved data, reporting, and process improvements. The role also tracks initiatives and validates operational and financial benefits with functional partners, supports monthly performance reviews, and promotes reliable data and reporting for leadership decisions. The posting also describes a Supplier Risk & Capacity Lead responsible for assessing and mitigating supply-base risks, validating supplier capacity, and identifying constraints that could affect supply continuity. It characterizes that work as technically oriented, requiring an engineering or manufacturing background and the ability to evaluate supplier operations, production capability, capacity assumptions, equipment constraints, and operational risks.

Requirements

  • Bachelor's degree in Supply Chain, Industrial Engineering, Business Analytics, Operations, Data Analytics, or a related field.
  • Strong analytical and data-visualization skills.
  • Experience developing supply chain KPIs, dashboards, and management reporting.
  • Strong understanding of supply chain processes across Procurement, Planning, Logistics, and/or Warehousing.
  • Experience with Power BI and ERP-based data analysis.
  • Experience with Lean, Six Sigma, process mapping, root-cause analysis, or structured continuous-improvement methods.
  • Strong project management, problem-solving, and cross-functional communication skills.
  • The posting describes the supplier risk and capacity work as requiring an engineering or manufacturing background and the ability to evaluate supplier operations and capacity.

Nice To Haves

  • 10+ years of experience in supply chain analytics, continuous improvement, operations excellence, industrial engineering, or supply chain (listed as recommended).

Responsibilities

  • Develop and maintain supply chain dashboards, analytics, and management reporting across Procurement, Planning, Logistics, and Warehousing.
  • Establish consistent KPI definitions, calculations, data sources, and reporting standards.
  • Analyze performance trends and identify opportunities related to supplier performance, material availability, scheduling, freight, inventory, warehouse operations, cost, and risk.
  • Partner with functional leaders to translate data into actionable improvement priorities.
  • Lead cross-functional process improvement and standardization initiatives across the end-to-end supply chain.
  • Apply Lean and structured problem-solving methods, including Value Stream Mapping, Kaizen, A3, 5 Why, and Root Cause Analysis where appropriate.
  • Identify manual processes, data-quality issues, duplicate reporting, and opportunities for automation or simplification.
  • Develop requirements and support testing and implementation of approved supply chain data, reporting, and process improvements.
  • Track improvement initiatives and validate operational and financial benefits with the appropriate functional partners.
  • Support monthly supply chain performance reviews by identifying trends, exceptions, root causes, and corrective-action needs.
  • Drive data quality and reporting discipline so leadership decisions are based on consistent, reliable information.
  • Identify, assess, and mitigate risks across the supply base; validate supplier capacity and identify constraints that could affect supply continuity.
  • Evaluate supplier operations, production capability, capacity assumptions, equipment constraints, and operational risks.

Benefits

  • Competitive pay with incentive opportunities.
  • Medical, dental, and vision coverage.
  • Life and disability insurance programs.
  • Voluntary benefits options.
  • Generous paid time off.
  • Education assistance and tuition support.
  • Retirement and savings programs.
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