Description

You will build and maintain integrated industrial engineering models for factory planning, covering capacity, labor, material flow, PFEP, and COGS.

This role is on-site.

Responsibilities

• Develop capacity models incorporating cycle time, OEE, yield losses, and bottleneck analysis to support factory planning.
• Create labor models to optimize headcount, utilization, and labor cost across production systems.
• Design and maintain OEE models to drive operational efficiency and lead COGS modeling for overhead and scrap.
• Integrate PFEP data into models to optimize material flow, storage, and line-side delivery strategies.
• Implement AI-driven tools and scalable data architectures for predictive analytics and intelligent decision-making.

Required Skills

• 7+ years of experience in industrial engineering analytics or operations analysis.
• Proficiency in Python, SQL, and Power BI for data modeling and visualization.
• Hands-on experience with GCP services including BigQuery, GCS, and Vertex AI.
• Strong understanding of manufacturing systems, capacity planning, and lean methodologies.
• Experience with business case development including ROI, IRR, and NPV analysis.
• Ability to translate complex analytical outputs into executive-level insights.

Preferred Skills

• Familiarity with factory simulation tools such as FlexSim, AnyLogic, or Simio.
• Experience integrating shop-floor data with IE models for real-time dashboards.

Key Skills

Education

Bachelor's degree