Principal Program Manager – Demand Planning

Principal Demand Planner

We are seeking a Principal Demand Planner to lead forecasting and decision-making through rigorous modeling, business intelligence, and market analysis. The ideal candidate has deep experience consolidating large, complex data sets; identifying meaningful patterns, inconsistencies, and unexplained outliers; and translating detailed findings into clear, actionable recommendations. This role requires exceptional attention to detail, strong cross-functional coordination, and the ability to continuously improve the inputs, assumptions, and methods used for strategic demand forecasting.

• Develop, maintain, and improve end-to-end long-range demand models at the customer, initiative, SKU, and geographic levels, providing supply chain teams with accurate, timely inputs to meet customer demand.

• Consolidate large data sets from multiple systems and stakeholders, validate data quality, reconcile conflicting inputs, and investigate unexplained variances and outliers.

• Build demand plans based on strategic goals, business trends, historical patterns, and inputs from engineering, customer management, product management, networking, data center, finance, and supply chain teams.

• Proactively coordinate with cross-functional partners to obtain complete, accurate, and timely inputs required for planning processes.

• Analyze forecast performance, identify emerging patterns and risks, and distinguish meaningful demand signals from anomalies or incomplete data.

• Present demand plans, assumptions, risks, and recommendations to senior leaders across capacity planning, operations, supply chain, engineering, customer management, and finance to drive alignment.

• Develop prioritized, flexible, and durable mitigation strategies for forecast risks and data gaps.

• Balance long-range planning with short-term execution while maintaining an end-to-end understanding of supply chain dependencies.

• Partner with product management to evaluate product life cycles, transitions, substitutions, and their impact on demand.

• Provide detailed demand analysis and planning inputs to management, finance, and operations teams supporting the corporate S&OP process.

• Produce routine and ad hoc analyses for senior management, clearly summarizing complex data, assumptions, findings, and unresolved issues.

• Maintain disciplined demand review processes that improve forecast accuracy, data integrity, and accountability.

• Translate business strategy and qualitative inputs into measurable forecasting assumptions and models.

• Partner with business intelligence teams to convert planning processes into scalable system models that support capacity, resource, and performance requirements.

• Bachelor's degree in Business Administration, Supply Chain Management, Engineering, or a related field.

• 5+ years of relevant demand planning and forecasting experience.

• Extensive experience developing demand plans and forecasts for new and existing products.

• Advanced ability to consolidate, validate, and analyze large data sets from multiple sources.

• Demonstrated ability to identify trends, correlations, data quality issues, and unexplained outliers requiring further investigation.

• Strong attention to detail, with a consistent record of producing accurate, high-quality work under tight deadlines.

• Understanding of how revenue goals, customer usage, overhead, buffer requirements, and data center space and power constraints affect capacity planning.

• Experience forecasting server, storage, and networking demand.

• Advanced Excel modeling skills, including complex forecasting models with multiple inputs, assumptions, and scenarios.

• Ability to move between detailed data analysis and concise executive-level communication.

• Experience working directly with vice presidents and executive stakeholders.

• Experience with infrastructure hardware, including memory, CPUs, JBoDs, servers, and related components.

• Ability to read and interpret bills of materials, product specifications, and technical documentation.

• Cloud infrastructure experience.

• Ability to operate effectively in ambiguity and make sound decisions with incomplete or…