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SIOP Supply & Industrial Engineering Lead

Job in East Granby, Hartford County, Connecticut, 06026, USA
Listing for: Belcan Corporation
Full Time position
Listed on 2025-12-20
Job specializations:
  • Engineering
    Operations Engineer, Manufacturing Engineer, Lean Manufacturing / Six Sigma, Quality Engineering
  • Manufacturing / Production
    Operations Engineer, Manufacturing Engineer, Lean Manufacturing / Six Sigma, Quality Engineering
Salary/Wage Range or Industry Benchmark: 85000 - 135000 USD Yearly USD 85000.00 135000.00 YEAR
Job Description & How to Apply Below

Job Title:

SIOP Supply & Industrial Engineering Lead

Locations:
Windsor & East Granby, CT;
West Chester, OH;
Warren, MI;
Ogden, UT;
Lansing, MI

Schedule:

Hybrid (Onsite as needed)

Pay: $85-135k (DoE) - plus bonus

Zip Code: 06026

Start Date:

ASAP

Keywords: #Supply Planning Lead  #Hybrid Jobs

This role drives capacity planning and process optimization within an Aerospace manufacturing operations environment, supporting the standardization of production scheduling and execution across sites.

Key Responsibilities
  • Perform rough-cut and finite-capacity analyses to identify bottlenecks and recommend solutions such as shift adjustments, staffing plans, or capital expenditure (Cap Ex).
  • Develop and maintain capacity models to support master production scheduling (MPS) and ensure alignment with demand forecasts and material availability.
  • Analyze production data to track and report key metrics, including capacity utilization, schedule adherence, arrears, and throughput performance.
  • Collaborate with Operations, Supply Chain, and Engineering teams to resolve constraints and ensure feasible production plans within the SIOP process.
  • Support weekly Sales and Operations Execution (S&O) reviews by providing capacity insights and identifying execution gaps at the part family level.
  • Conduct root cause analysis for production inefficiencies or missed commitments, driving corrective actions to improve scheduling discipline.
  • Create and deploy dashboards to visualize capacity risks, production trends, and resource utilization for site-level and enterprise-wide decision-making.
  • Implement continuous improvement initiatives using Lean, Six Sigma, or other methodologies to enhance manufacturing processes and reduce cycle times.
  • Support the standardization of capacity planning and scheduling processes across sites, mentoring site planners and production teams.
  • Utilize ERP/MRP systems (e.g., SAP) and simulation tools to model and optimize production workflows and resource allocation.
Qualification Requirements
  • NOTE aerospace experience is a must have.
  • Strong background and experience with aerospace manufacturing and capacity planning.
  • 5+ years of experience in industrial engineering, capacity planning, or production scheduling within aerospace and manufacturing environments.
  • Strong expertise in capacity planning logic, master production scheduling, and ERP/MRP tools (e.g., SAP, Oracle).
  • Strong analytical capabilities with proficiency in data analysis and visualization tools (e.g., Excel, Power BI, or Tableau) for capacity and performance reporting.
  • Experience with Lean manufacturing, Six Sigma, or other process improvement methodologies; certification (e.g., Green Belt) is a plus.
  • Ability to analyze complex production constraints and propose data-driven, pragmatic solutions.
  • Strong collaboration and communication skills for cross-functional teamwork with Operations, Supply Chain, and Engineering.
  • Familiarity with aerospace manufacturing standards (e.g., AS9100) and geometric dimensioning and tolerancing (GD&T) preferred.
  • Demonstrated upward progression and development within a company.
Education Requirements
  • Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or related field.
  • APICS CPIM, CSCP, or similar certification preferred.
  • Professional Engineer (PE) license or Lean/Six Sigma certification is a plus.

Belcan is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

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