Lead the gathering and validation of operational datasets across manufacturing lines, storage systems, material handling, workforce patterns, quality issues, and facility constraints.
Conduct in‑depth Industrial engineering analysis—including time studies, throughput modeling, labor and equipment utilization, workflow bottlenecks, and quality/performance diagnostics—across factory or warehouse environments.
Define and structure model inputs such as layouts, constraints, resource requirements, shift patterns, throughput assumptions, and quality parameters; run scenario analyses and interpret operational implications.
Develop decision‑ready visuals and narrative summaries that clearly communicate findings and operational recommendations
Maintain detailed process maps, facility layouts, SOPs, and operational assumptions that support modeling, modernization, and continuous‑improvement activities.
Lead engagements with manufacturing, quality, engineering, warehousing, and logistics teams to gather requirements, clarify operational realities, and shape analytical or modernization approaches.
Guide junior analysts, review work outputs, and ensure analytical and operational rigor across facility/IE workstreams.
Requirements
4–8 years of experience in industrial engineering, manufacturing operations, warehousing, distribution, quality engineering, or facilities/process improvement (Exposure to DoD depots, arsenals, logistics centers, or maintenance facilities may offset required years of experience)
Demonstrated success leading IE or operations workstreams (time studies, throughput/flow modeling, labor standards, facility layout evaluations, bottleneck analysis, quality investigations).
Experience preparing structured inputs for facility, warehouse, or manufacturing models; familiarity with simulation or facility/digital‑twin tools preferred.
Proficiency with Excel; familiarity with SQL or analytics tooling (Python/R) is a plus.
Experience supporting or advising stakeholders and presenting operational recommendations. Experience mentoring or reviewing the work of junior team members.