Strategic Master Scheduler & Supply Planner

Vertiv; Westerville (OH); On-site; USD 85,000 - 120,000; Full time

Job summary

Vertiv seeks a Master Scheduler to translate mid- to long-term demand signals into production forecasts and schedules for engineered-to-order solutions including Power Skids and SmartRun systems. You will align demand, capacity, materials, and inventory strategies to ensure on-time delivery and strong customer satisfaction.

The role collaborates with Sales, Operations, Procurement, and Customer Fulfillment to optimize output and delivery performance while supporting SIOP processes and capacity

Qualifications

• Bachelor’s degree in Supply Chain Management, Business, Industrial Engineering, or related field.
• 3–5 years of experience in production planning, scheduling, or supply chain management.
• Strong knowledge of ERP/MRP systems (e.g., Oracle).
• Proficiency in Microsoft Excel and other data analysis tools.
• APICS CPIM or CSCP certification is a plus.
• Strong analytical, organizational, communication, and decision-making skills.
• Ability to work effectively across departments in a fast-paced environment.
• Experience planning for engineered-to-order (ETO), configure-to-order (CTO), or complex manufactured products

Responsibilities

• Master Supply Planning & Scheduling
• Analyze mid to long term demand signals from sales forecasts, customer orders, and historical data to develop production plans that balance capacity, inventory targets, and customer delivery commitments
• Maintain and refine forecasting models to improve accuracy and responsiveness to changing market conditions.
• Monitor and adjust schedules to accommodate changes in customer demand, manufacturing capacity, material availability.
• Collaborate with sales, marketing, and product management teams to validate demand assumptions
• Identify and implement improvements in scheduling processes, tools, and procedures to enhance efficiency and responsiveness.
• Serve as an engaged contributor to the SIOP process by providing accurate production schedules, capacity constraints, lead time updates, and inventory data to support informed decision-making and alignment across functions.
• S&OP / SIOP Integration
• Prepare and present supply-side inputs for monthly SIOP reviews, including capacity assessments, constraint analysis, and scenario planning
• Collaborate with demand planning, finance, and commercial teams to reconcile supply plans with demand signals and business objectives
• Capacity & Constraint Management
• Proactively identify and elevate supply risks, developing mitigation plans to protect customer commitments
• Collaborate with plant operations and engineering to develop capacity expansion plans and resource allocation strategies as needed
• Inventory Optimization
• Advise inventory strategies that balance service levels with working capital targets
• Support initiatives to reduce excess and obsolete inventory
• Cross-Functional Collaboration
• Collaborate with procurement, logistics, manufacturing, and program management to ensure seamless execution of the supply plan
• Coordinate with key account teams to align supply plans with strategic customer requirements
• Partner with New Product Introduction (NPI) teams to integrate new product launches into the master supply plan

Skills

Analytical skills

Excel proficiency

Cross-functional collaboration

Decision making

Data analysis

Education

Bachelor’s degree in Supply Chain Management, Business, Industrial Engineering, or related field

Tools

ERP/MRP systems (Oracle)

Excel and data analysis tools

Planning/BI tools

APICS CPIM/CSCP certification

Job description

Vertiv seeks a Master Scheduler to translate mid- to long-term demand signals into production forecasts and schedules for engineered-to-order solutions including Power Skids and SmartRun systems. You will align demand, capacity, materials, and inventory strategies to ensure on-time delivery and strong customer satisfaction.

The role collaborates with Sales, Operations, Procurement, and Customer Fulfillment to optimize output and delivery performance while supporting SIOP processes and capacity