Master Scheduler / SIOP - Now Hiring

• Own the rolling 3-12 months demand forecast, integrating historical bookings, opportunity pipeline, and Commercial Business input into a single consensus demand signal.
• Translate opportunity-stage pipeline data from the Commercial Business team into probability-weighted demand by product family, configuration, and customer segment.
• Lead the regular Demand Review with Commercial Business leadership to validate assumptions and lock the committed forecast that enters SI&OP.
• Track and report forecast accuracy and bias by horizon, product family, and customer; drive root-cause when accuracy drifts.
• Challenge Commercial projections and Operations constraints with data when either is not supported by the numbers.

• Translate the consensus demand plan into a Master Schedule establishing monthly and quarterly output targets by product family and facility.
• Run Rough-Cut Capacity Planning (RCCP) against engineering hours, critical work centers, long-lead supply, and key sub-tier suppliers to confirm the plan is achievable before commitments are made.
• Identify capacity gaps and surpluses 3–18 months out and recommend specific actions: capital, headcount, outsource, sequencing, or commercial action.
• Manage long-lead material and engineering pre-commitments where forecast confidence supports it, in coordination with Supply Chain, Engineering, and Finance.
• Facilitate the regular SI&OP / IBP cycle end-to-end: Demand Review, Supply Review, Reconciliation, and Executive SI&OP.
• Prepare and present the SI&OP deck to executive leadership, surfacing required decisions and trade-offs by scenario.
• Drive a single set of numbers across Commercial Business, Operations, Engineering, Supply Chain, and Finance.
• Maintain SI&OP governance: cadence, attendance, inputs, outputs, decision logs, and action follow-through.

• Build and maintain capacity models for critical constraints: engineering, key work centers and bays, test and inspection, and strategic suppliers.
• Run what-if scenarios for major opportunities, new product introductions, customer schedule shifts, and supply disruptions; quantify impact on delivery, revenue, and cost.
• Provide the Commercial Business team with capacity-aware lead-time guidance for quoting and order intake.

• Partner with the System Data team to build and maintain SI&OP, demand, and capacity dashboards in D365 and Power BI.
• Own the integrity of master scheduling data in D365: planning bills, planning calendars, lead times, lot sizing, capacity definitions, and forecast records.
• Maintain the SI&OP KPI set: Forecast Accuracy, Forecast Bias, Demand Plan Attainment, Master Schedule Attainment, Capacity Utilization, and pre-PO inventory exposure.

• Operate pre-PO / pre-SO; hand off a validated, capacity-confirmed plan to Operations Planning for post-PO execution.
• Partner with the Operations Planning Manager on schedule attainment, escalations, and learnings that feed back into the master schedule.
• Master Scheduling sets the envelope. Manufacturing retains authority over bay assignment and production floor direction. Operations Planning owns post-PO WIP coordination.

• 5+ years in demand planning, master scheduling, or SI&OP in a manufacturing environment; ETO or complex configured-to-order experience preferred.
• Direct experience leading or heavily contributing to a formal SI&OP / IBP process across Commercial and Operations functions.
• Hands-on proficiency with an enterprise ERP planning suite; D365 (Microsoft Dynamics 365) preferred.
• Advanced Excel; working proficiency with Power BI.
• Statistical forecasting methods, regression, and demand modeling.
• Bachelor's degree in Supply Chain Management, Industrial Engineering, Operations Research, Business Analytics, or related field — or equivalent demonstrated experience.

• CPIM or CSCP certification from ASCM (formerly APICS).
• Direct experience with D365 advanced planning, master scheduling, or planning optimization modules.
• SI&OP / IBP experience in a project-driven, low-volume / high-mix ETO business.
• Experience building Power BI dashboards in partnership with a data engineering / BI team.

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