Coordinator III-HAC (103497)

The Operations Research & Simulation Engineer is responsible for the predictive modeling, algorithmic optimization, and business analytics of the master production schedule and manufacturing assembly line.

This role builds discrete-event simulation models ("digital twins") and AI/ML-driven heuristic engines to mathematically optimize build sequences, balance assembly station capacities, and run dynamic "what-if" line scenarios.

Key accountabilities include:

• Simulation & Digital Twin Development: Develop, scale, and maintain discrete-event simulation (DES) models of the aircraft assembly line to evaluate cycle times, station footprints, labor capacities, and tooling constraints.
• Scenario & "What-If" Optimization: Run advanced manufacturing line scenarios to predict the downstream impacts of major disruptions and generate mathematically optimized recovery schedules.
• AI/ML & Constraint Programming: Build and deploy basic AI models, stochastic networks, and heuristic algorithms to automate line balancing and buffer against delivery swings.
• Business Analytics & Dashboarding: Design, build, and audit cross-functional business intelligence dashboards to synthesize historical performance, track schedule "thrashing," and report out diagnostic KPIs to leadership.
• Data Integration & Systems Architecture: Act as a technical liaison between Manufacturing Engineering, IT, and Supply Chain to cleanly ingest raw data from SAP/MES platforms into simulation and analytics models.
• Statistical Process Analysis: Analyze statistical operational data, including process capability studies, machine/labor through-put rates, and supplier lead-time drift patterns.
• Continuous Improvement Support: Provide technical root-cause analysis on schedule variances and floor bottlenecks to support physical line optimization and lean implementation goals

The ideal candidate will have:

• Bachelor’s or master’s degree in industrial engineering, Operations Research, Data Science, Aerospace Engineering, or a highly quantitative technical field.
• 5+ years in a manufacturing environment (aerospace or highly structured assembly preferred).
• Core Simulation Software: Strong hands-on experience building complex operational models using discrete-event simulation platforms (e.g., FlexSim, AnyLogic, Arena, Simio).
• Business Analytics & ERP Stack: Proven experience with descriptive data analytics tools (Power BI, Tableau) layered over standard ERP/MES ecosystems (e.g., SAP, PLEX, Siemens).
• Scheduling Foundations: Deep grasp of traditional manufacturing logic, including Critical Path Method (CPM), Material Requirements Planning (MRP), Takt time balancing, Gantt charts, and resource allocation.
• Communication & Presentation: Excellent oral, written communication, and presentation skills.

The salary range for this position is $73,900.00 - $110,800.00.