Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Statistics, Operations Research, Supply Chain, Economics, or a related field.
5-8 years of experience in demand planning, forecasting, capacity planning, supply-chain planning, analytics, operations research, or a related area.
Experience working with technology hardware, networking, semiconductor, cloud infrastructure, or data center infrastructure.
Strong understanding of demand forecasting and long-range planning, including forecast accuracy, bias, scenario planning, and demand drivers.
Experience working with complex hardware products, including BOMs, SKUs, product lifecycle, NPI, EOL/EOS, and product transitions.
Experience connecting engineering, deployment, or infrastructure plans to hardware demand.
Strong analytical and quantitative skills, including hands-on experience with SQL and Python/R.
Experience working with large datasets and using data to investigate problems and support planning decisions.
Strong cross-functional communication skills and experience working with engineering, supply chain, product, and business stakeholders.
Ability to operate independently, navigate ambiguity, and influence decisions across organizations.