Industrial Technician

Role Purpose The Industrial Engineering Technician – Digital Solutions provides hands-on technical support to the IE team at Corning’s RAM facility in Reynosa — executing time studies, maintaining labor standards and manufacturing data in SAP, and sustaining the digital tools and data workflows that support fiber optics connector assembly operations.

Working closely with the Industrial Engineer – Digital Solutions, this role bridges daily floor-level IE work with the team’s growing data and automation ecosystem, ensuring tools stay accurate and improvement opportunities are consistently surfaced.

Key Responsibilities

Conduct time studies, cycle time analysis, and line balancing activities to establish and maintain labor standards across manual and semi-automatic fiber optics connector assembly lines. Develop and maintain manufacturing routings, work center structures, Bills of Materials (BoM) for pseudos and internal sub-assemblies, and related engineering data in SAP.

Support Cost Roll activities, analyze labor and manufacturing cost variances versus standards, and validate product or process changes that impact costs and labor standards. Support New Product Introduction (NPI) projects, production transfers, and continuous improvement initiatives focused on Safety, Quality, Delivery, Cost, and Inventory.

Experiences/Education

• Required Technical degrees in Industrial Engineering, Manufacturing Engineering, Information Technology, or a related field; bachelor’s degree in industrial, Manufacturing, or Systems Engineering is desirable. Completion of at least 6 semesters toward a bachelor’s degree in engineering is also acceptable for level AA. +1 years of experience in a manufacturing, industrial engineering, or technical operations environment; internship, co-op, or academic project experience in IE, process improvement, or productivity analysis is acceptable. Familiarity with SAP in a manufacturing context, including routings, work centers, BoM (Bill of Materials) management, and labor standards; SAP PP or manufacturing modules preferre Experiences/Education
• Desired Exposure to Databricks or similar cloud-based data and analytics platforms. Knowledge of Lean Manufacturing principles or basic process improvement methodologies. Experience supporting or operating web applications or digital tools in an engineering or manufacturing context.