Senior Scheduler - Digital Manufacturing Optimizer

BioSpace; Holly Springs (NC); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Retirement plan

Stock-based incentives

Flexible work models

Health benefits

Job summary

Amgen is seeking a Sr. Associate Scheduler I in North Carolina to lead advanced scheduling for downstream manufacturing, integrating data analytics and automation to boost efficiency. You will partner with Manufacturing, Supply Chain, and Quality teams to drive readiness and improve execution.

The role emphasizes capacity planning, scenario modeling, and continuous improvement to optimize cycle times and asset utilization in a fast-paced plant environment.

Qualifications

• High school/GED + 4 years of Manufacturing, Engineering, Business Analysis or Computer Science work experience
• Associates + 2 years of Manufacturing, Engineering, Business Analysis or Computer Science work experience
• Bachelors + 6 months or Manufacturing, Engineering, Business Analysis or Computer Science work experience
• Master's degree is acceptable for consideration

Responsibilities

• Develop and maintain finite schedules for downstream manufacturing operations considering constraints and priorities
• Monitor schedule execution, identify risks, and mitigate delays
• Perform capacity analyses and scenario modeling to support decisions
• Collaborate with Manufacturing, Supply Chain, Warehouse, Maintenance, Engineering, and Quality teams
• Identify opportunities to improve scheduling processes, cycle times, and asset utilization
• Evaluate operational constraints and adjust schedules proactively
• Develop and report KPIs for schedule adherence, throughput, and planning accuracy

Skills

Analytical thinking

Problem solving

Communication

Stakeholder management

Finite scheduling

Production planning

Education

High school/GED

Associates

Bachelor's

Master's

Job description

Amgen is seeking a Sr. Associate Scheduler I in North Carolina to lead advanced scheduling for downstream manufacturing, integrating data analytics and automation to boost efficiency. You will partner with Manufacturing, Supply Chain, and Quality teams to drive readiness and improve execution.

The role emphasizes capacity planning, scenario modeling, and continuous improvement to optimize cycle times and asset utilization in a fast-paced plant environment.