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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manufacturing SME / Solutions Architect - **Company:** Aspire Inc. - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $187,200.0 - $208,000.0 - **Contract:** Permanent contract - **Skills:** Information Engineering, Failure Mode Effects Analysis, Supervisory Control and Data Acquisition (SCADA), Machine Learning, Statistical Process Control (SPC), Data Ingestion, Yield Optimization - **Published:** August 12, 2026 - **Apply:** https://www.dice.com/job-detail/ca95dfba-7001-4763-9e94-38b8a136ff97 ## About the Role * 10+ years in manufacturing, with strong hands-on experience in injection moulding (or precision polymer/extrusion) operations and process engineering. * Proven track record in manufacturing quality (SPC, APQP, PPAP, FMEA, root-cause methodologies). * Demonstrated data engineering capability: data ingestion, integration, warehousing, and pipeline design for manufacturing/OT data. * Experience building predictive/ML models for quality, maintenance, or yield. * Delivered productivity improvement programs (OEE, cycle time, scrap, downtime reduction). * Strong grasp of Industry 4.0 / IIoT architectures - MES, SCADA, IIoT platforms, digital twin concepts. * Experience working in Agile delivery environments. * Ability to translate operational assessments into executive-ready roadmaps and business cases. * Willingness to work onsite in North Carolina for the full 3-month engagement. ## Description * Assess end-to-end factory operations across injection moulding lines, identifying gaps in quality, throughput, and equipment effectiveness (OEE). * Define and present a phased digital transformation and operational excellence roadmap aligned to business priorities. * Design data engineering pipelines to capture, integrate, and structure machine, process, and quality data. * Develop predictive models for defect detection, scrap reduction, predictive maintenance, and yield optimization. * Recommend productivity and cycle-time improvement initiatives grounded in lean and Six Sigma principles. * Architect Industry 4.0 / IIoT solutions (sensors, edge, MES, SCADA integration, digital twin readiness). * Establish manufacturing quality frameworks (SPC, FMEA, root-cause analysis, closed-loop quality control). * Partner with plant leadership, engineering, and IT to deliver an agile, iterative execution plan., The above statements are not intended to be a complete statement of job content, but rather to serve as a guide to the essential functions performed by the employee in this role. 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