Demand Planning Manager

Manager, Demand Planning

Amazon's technology supply chain supports a complex and rapidly evolving portfolio of infrastructure, end-user equipment, and technology products across thousands of locations globally. As the business scales, accurate and forward-looking demand planning is critical to ensuring supply availability, managing inventory investment, and delivering predictable outcomes for customers. We are seeking a Manager, Demand Planning to lead the demand planning capability within Supply Chain Planning. This leader will manage a team responsible for developing and continuously improving demand plans across the existing customer business segments, while establishing scalable mechanisms that can support new businesses, products, and fulfillment models. The successful candidate will build a demand planning organization that combines strong planning fundamentals with data, technology, and automation. This includes improving forecast quality, integrating customer and business signals, identifying structural sources of forecast error, and partnering with Product, Data, Analytics, and Technology teams to reduce manual planning activity and enable increasingly intelligent forecasting capabilities. The ideal candidate combines strong supply chain expertise, analytical depth, customer orientation, business judgment, and people leadership. They must be comfortable challenging assumptions, navigating incomplete or conflicting signals, and influencing stakeholders across Supply Chain, Finance, Technology, Operations, Procurement, and customer organizations.

Key job responsibilities include:

• Lead, coach, and develop a team responsible for demand planning across Launch, KTLO, and Programs.
• Own the end-to-end demand planning mechanism, including forecast creation, validation, consensus, performance measurement, and continuous improvement.
• Translate customer, business, historical, operational, and market signals into credible forward-looking demand plans at the appropriate product, geographic, and time horizons.
• Establish clear accountability for demand inputs and challenge assumptions, overrides, and changes that are not supported by measurable business signals.
• Define and improve forecast accuracy, bias, forecast value-add, and other metrics that distinguish true demand variability from process, data, and system defects.
• Partner with Supply Planning and Enterprise S&OP to surface demand uncertainty, quantify risks, and support scenario and trade-off decisions.
• Develop segmented planning approaches appropriate for different demand patterns, including launches, steady-state replenishment, and program-driven demand.
• Partner with Product, Data, Analytics, and Technology teams to automate forecast ingestion, validation, anomaly detection, and planner workflows.
• Advance the use of statistical forecasting, machine learning, and AI to improve forecast quality and reduce dependence on manual reconciliation and judgment.
• Simplify fragmented demand signals and processes, with a long-term goal of connecting Planning more directly to customer and business demand signals.
• Build scalable mechanisms that support new products, businesses, regions, and planning paradigms without creating parallel planning processes.
• Communicate demand outlook, uncertainty, structural risks, and recommended actions clearly to senior stakeholders.

A day in the life in this role may involve reviewing forecast performance and emerging demand changes with your team, determining whether movement reflects a true change in customer demand or a defect in the underlying signal. You may work with customer teams to challenge assumptions behind a forecast, partner with Supply Planning to understand the implications of a significant demand shift, or support Enterprise S&OP with scenarios where demand uncertainty requires a broader business decision. You may also spend time with Product or Technology teams improving how demand signals are ingested, automating a repetitive planner workflow, or defining how machine learning and AI can augment planner judgment. The role balances near-term planning performance with the longer-term objective of creating a scalable, technology-enabled demand planning capability where planners spend less time collecting and reconciling information and more time understanding customers, evaluating uncertainty, and improving the quality of the plan.

Basic qualifications include:

• 5+ years of working cross functionally with tech and non-tech teams experience
• 5+ years of team management experience
• 5+ years of cross functional project delivery experience
• 5+ years of program or project management experience
• 5+ years of supply chain experience
• Experience defining program requirements and using data and metrics to determine improvements
• Bachelor's degree
• Experience in forecasting, budgeting, variance analysis, and interpreting financial results across multiple business areas, or experience building and managing financial models for business forecasting and problem solving

Preferred qualifications include:

• Experience managing, analyzing and communicating results to senior leadership
• Experience implementing repeatable processes and driving automation or standardization
• Experience managing teams of 3 or more
• Master's degree
• Experience with ERP systems (e.g., SAP, Oracle, Workday), or experience working with Excel, reporting tools, and large-scale data mining tools, such as Power BI, Python, SQL, or Tableau

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.