Master Scheduler: Drive On-Time Engineering & Delivery

Siemens; Wendell (NC); On-site; USD 67,000 - 115,000; Full time

Job summary

Siemens in Wendell, NC is seeking a Master Scheduler to optimize schedules for multiple product lines across a 50+ engineering team. You will collaborate with Offers Engineering, PM, and factory leadership to ensure on-time engineering output and reliable delivery.

The role requires 3+ years in continuous improvement, production scheduling, or related processes. Experience with Salesforce.com and SAP is preferred to improve scheduling workflows and data visibility.

Qualifications

• High school diploma and 3+ years experience with continuous improvement, business processes, or production scheduling.
• Preferred: Salesforce.com and SAP experience offering enhancements for scheduling and production systems.

Responsibilities

• Partner with Offers Engineering (AE), Project Management (PM), and factory leadership to develop and optimize project schedules, ensuring on-time engineering output and delivery reliability
• Balance engineering and factory capacity across product lines to align with budget targets (GM-SG, Siebreak, Simovac)
• Drive end-to-end engineering task scheduling to ensure timely release of drawings and Bills of Material to customers and the factory
• Lead product-specific load and production meetings; provide regular reporting on capacity, loading, and Delivery Reliability performance
• Coordinate change order impacts, project assignments, and product lead times with PMs, Engineering, and Business Development to support growth and continuous improvement

Job description

Siemens in Wendell, NC is seeking a Master Scheduler to optimize schedules for multiple product lines across a 50+ engineering team. You will collaborate with Offers Engineering, PM, and factory leadership to ensure on-time engineering output and reliable delivery.

The role requires 3+ years in continuous improvement, production scheduling, or related processes. Experience with Salesforce.com and SAP is preferred to improve scheduling workflows and data visibility.