GCFC Digital Process Engineer
Core
Optimizing manufacturing and warehousing processes through digital innovation, AI-enabled tools, and data analytics to improve efficiency, reduce costs, and ensure product quality.
Role type
Digital Process Engineer (Manufacturing/Warehousing)
Builds
Automated performance scorecards, dashboards, ETL/ELT pipelines, and AI-enabled operational tools.
Domain
Manufacturing / Warehousing / AI & Data Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Process analysis, statistical process control (SPC), root cause analysis, data modeling, feature engineering, ETL/ELT pipeline development, AI tool application, technical reporting, cross-functional collaboration
Preferred skills
Warehouse operations experience, generative AI concepts, predictive analytics, machine learning concepts
Technologies
Generative AI, predictive analytics, machine learning, ETL/ELT pipelines, automated scorecards, statistical process control (SPC)
Responsibilities
Design and implement digital warehousing processes; conduct process analysis to identify bottlenecks; develop process validation protocols (IQ, OQ, PQ); monitor performance using SPC and analytical tools; build/maintain ETL/ELT pipelines and data models; apply AI tools to automate analysis and support decision-making; prepare technical reports and SOPs; lead root cause analysis for process failures.
Seniority
Experienced Professionals