Capacity Planner

Insight Global; San Jose (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Insight Global is seeking a senior Capacity Planner for its Manufacturing Operations. The role leads data-driven capacity modeling to convert product demand, hardware configurations, and flows into executable capacity plans across a multi‑billion‑dollar silicon and OSAT network.

The position requires 8+ years in semiconductor capacity management, a BS in a relevant engineering field, and advanced skills in Excel, SQL, and Power BI to support NPIs, ramps, and supply‑chain planning.

Qualifications

• 8+ years of capacity management experience in semiconductors.
• Advanced understanding of silicon manufacturing processes and supply chain dynamics.

Responsibilities

• Champion data foundation and scenario modeling to convert demand into a capacity plan.
• Shape capacity decisions across the silicon and OSAT supply network to safeguard supply continuity and time‑to‑market.
• Build and maintain multi‑variable capacity models using yield, throughput, Excel modeling, and SQL/Power BI to translate demand into execution plans.
• Define resource types and planning parameters (OEE, test time, index time, retest rate) to drive capacity calculations.
• Track on‑hand and on‑order resources and ensure planning data reflects current positions.

Skills

Capacity planning

Data analysis

Excel modeling

Problem solving

Education

B.S. in Electrical/Mechanical/Manufacturing Engineering

Tools

SQL

Power BI

ERP systems

Job description

• BS Degree in Electrical Engineering, Mechanical Engineering, or Manufacturing Engineering, or a related engineering discipline, with demonstrated hands-on experience in OSAT operations
• 8+ years of capacity management experience within the semiconductor industry
• Advanced understanding of silicon manufacturing processes and supply chain dynamics

Nice to Have Skills & Experience

• Experience in a start-up environment
• Elite problem-solving skills and high level of attention to integrated business planning impacts

Job Description

As a key member of the Capacity Planning team in a Manufacturing Operations, you will champion the technical data foundation and scenario modeling that converts product demand, hardware configurations, and manufacturing flows into an executable backend capacity plan. Your work with directly shape capacity decisions across a multi-billion-dollar silicon and OSAT supply network, safeguarding supply continuity and time-to-market for next generation AI networking products.

Capacity Modeling & Analytics: Build and maintain complex, multi-variable capacity models grounded in yield and throughput dynamics and semiconductor supply chain fundamentals. Apply advanced Excel modeling, capacity simulation, and large-scale data analysis – leveraging SQL, Power BI, or equivalent tools – to convert demand, hardware, and test requirements into an executable backend capacity plan. Operate across MRP/MPS, APS, manufacturing, and ERP platforms to ensure capacity plans remain grounded in accurate, current operational data.

Product Data & Resource Architecture: Define the resource types requiring capacity planning and determine whether each is shared or dedicated across products. Establish and maintain planning parameters – such as OEE, test time, index time, and retest rate – that drive capacity calculations. Configure new resource and parameter data to support NPI readiness and maintain and update resource master data as existing products, processes, or manufacturing configurations change. Track on-hand and on-order resource availability, ensuring planning models reflect accurate, current resource positions.

Capacity Forecasting & Constraint Prediction: Translate product demand forecasts into required tester capacity by platform, packaging type, and factory utilization by site and manufacturing process. Identify capacity constraints and bottlenecks 6-18 months in advance, along with the capacity investments and trade-ratio adjustments needed to support growth and mitigate supply risk from demand, yield, or product mix changes.

Supply Chain Performance Excellence: Own capacity plan accuracy, forecast-vs-actual utilization, and constraint prediction accuracy as core metrics. Drive measurable outcomes in tester and manufacturing resource utilization, throughput attainment, bottleneck reduction, and NPI/ramp readiness through proactive capacity management. Improve supply commit accuracy by ensuring capacity positions are reflected reliably in commitments to internal and external stakeholders.