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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review

Insight Global's Workforce Privacy Policy:

https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

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