Jobs · Management · Massachusetts

Supply Chain Planner

Aston Carter · North Reading, MA · 3 days ago
On-siteManagement$49–$51/hrContract

About the role

This role leads inventory strategy, configuration management, and production planning for advanced robotic manipulation systems in a high-mix, low-volume manufacturing environment.

Responsibilities

  • Develop and enforce inventory control policies and procedures, and drive inventory accuracy through structured cycle count programs, root cause analysis, and corrective actions.
  • Optimize inventory levels and reduce excess and obsolete (E&O) material through proactive lifecycle management, disposition strategies, and demand-aligned replenishment.
  • Design and implement new inventory strategies that scale with program growth, evolving manufacturing requirements, and multiple product lines.
  • Own Engineering Change Orders (ECOs) and Manufacturing Change Orders (MCOs) across supported programs, ensuring accurate and timely implementation into production.
  • Create and maintain Manufacturing Bills of Materials (BOMs) with full configuration accuracy and traceability across all robotic manipulation systems.
  • Set up and maintain Bills of Distribution and Sourcing Rules, partnering with engineering on master data, routings, and resource rates to ensure accurate planning inputs.
  • Create finite capacity production schedules that account for equipment, labor, and material constraints to maximize throughput and meet build commitments.
  • Develop detailed build schedules and release work orders through their complete lifecycle, with particular emphasis on early New Product Introduction (NPI) programs.
  • Develop and maintain short-term and medium-term capacity models, identify bottlenecks through constraint analysis, and drive actions to resolve them.
  • Perform sequence optimization to minimize changeovers and maximize manufacturing throughput in a high-mix environment.
  • Build and maintain KPI dashboards to track inventory, planning, and schedule performance, and use data-driven insights to guide decisions and improvements.
  • Drive continuous improvement initiatives using Lean and Six Sigma methodologies to enhance planning processes, inventory accuracy, and production efficiency.
  • Collaborate cross-functionally with engineering, manufacturing, procurement, and logistics teams to ensure effective supply plan execution and manufacturing readiness.
  • Support master production scheduling by performing finite scheduling, releasing work orders, and maintaining accurate capacity models for robotic manipulation systems.
  • Lead velocity planning and inventory efforts, including inventory strategy development, replenishment optimization, and E&O management for high-mix product lines.
  • Support NPI planning for next-generation platforms by creating and maintaining BOMs, managing ECOs/MCOs, and ensuring production readiness for new programs.
  • Own root cause corrective action (RCCA) for inventory accuracy, including cycle count program design and systemic accuracy improvements across multiple facilities.
  • Prepare and present planning and inventory insights in weekly planning reviews with operations leadership, highlighting risks, constraints, and mitigation plans.

Essential Skills

  • Bachelor’s degree, or a minimum of 2 years of professional or military experience.
  • Knowledge of supply chain management concepts, including forecasting, planning, sourcing, optimization, and logistics, or equivalent experience.
  • Experience working in high-volume manufacturing environments, preferably with complex or high-mix products.
  • Experience with reporting and data visualization tools such as QuickSight, Tableau, Power BI, or comparable business intelligence platforms.
  • Knowledge of Six Sigma tools and Lean techniques and the ability to apply them to drive continuous improvement.
  • Experience in stakeholder and communication management, including cross-functional collaboration with engineering, manufacturing, and supply chain teams.
  • Experience with engineering change management processes, including ECOs and MCOs, and hands-on experience with BOM management.
  • Proficiency with ERP systems and supply chain planning tools, including experience with modules related to procurement, inventory, and production planning.
  • Experience in high-mix, low-volume advanced manufacturing environments, particularly with complex electromechanical or robotics products.
  • Experience designing or improving cycle count programs and leading root cause corrective action (RCCA) initiatives for inventory accuracy.
  • Exposure to NPI environments, including creating BOMs, managing ECOs/MCOs, and preparing manufacturing for new product launches.
  • Comfort working in fast-paced, high-ownership teams where ambiguity is common and decisions must be made quickly.
  • Strong analytical and problem-solving skills, with the ability to dive deep into data and processes to identify constraints and improvement opportunities.

Additional Skills & Qualifications

  • Experience with SQL for querying data and supporting analytical and reporting needs.
  • APICS certification such as CPIM (Certified in Planning and Inventory Management) or CSCP (Certified Supply Chain Professional), or progress toward these certifications.
  • Experience with Oracle E-Business Suite (EBS) or equivalent ERP platforms for procurement and planning.
  • Familiarity with SAP or similar enterprise resource planning systems.
  • Experience in high-mix, low-volume advanced manufacturing environments, particularly with complex electromechanical or robotics products.
  • Experience designing or improving cycle count programs and leading root cause corrective action (RCCA) initiatives for inventory accuracy.
  • Exposure to NPI environments, including creating BOMs, managing ECOs/MCOs, and preparing manufacturing for new product launches.
  • Comfort working in fast-paced, high-ownership teams where ambiguity is common and decisions must be made quickly.
  • Strong analytical and problem-solving skills, with the ability to dive deep into data and processes to identify constraints and improvement opportunities.

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