Detailed Scheduler - Surgical Robotics Supply Chain

Biopharma Asia; Santa Clara (CA); On-site; USD 75,000 - 106,000; Full time

Job summary

Johnson & Johnson's Surgical Robotics Supply Chain is seeking a Detailed Scheduler in Santa Clara, CA. You will translate production plans into detailed schedules, coordinating with manufacturing, warehouse, and quality teams to ensure on-time, efficient plant execution.

The role requires strong Excel skills, ERP/MRP experience, and a proactive approach to resolve scheduling constraints while maintaining service levels.

Qualifications

• Minimum 2 years of experience in Planning, Purchasing, Supply Chain, and Operations.
• Experience with ERP systems including Work Orders / Purchase Orders placement.
• Knowledge of MPS, MRP, capacity planning, and production scheduling concepts.
• Proficiency in Excel and analytical skills; strong problem-solving ability.

Responsibilities

• Create and maintain detailed production schedules aligned with the master production plan.
• Generate and monitor work orders and purchase orders per MPS/ERP system.
• Optimize schedules to improve throughput and on-time delivery.
• Coordinate schedule changes with plant stakeholders to minimize disruption.
• Support NPI work orders and ensure material readiness for production or development stages.
• Maintain planning parameters in ERP/MRP systems and ensure accuracy of data.

Skills

Planning experience

ERP systems

MRP knowledge

Excel and analytics

Multitasking

English communication

Problem solving

Manufacturing flow

Urgency and autonomy

Team collaboration

Education

BS/BA in Supply Chain or related field

Tools

SAP S4/Hana

Microsoft Excel

Job description

Johnson & Johnson's Surgical Robotics Supply Chain is seeking a Detailed Scheduler in Santa Clara, CA. You will translate production plans into detailed schedules, coordinating with manufacturing, warehouse, and quality teams to ensure on-time, efficient plant execution.

The role requires strong Excel skills, ERP/MRP experience, and a proactive approach to resolve scheduling constraints while maintaining service levels.