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# Senior S&OP Planner, AWS Infrastructure S&OP

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $171,000.0 - $231,300.0
- **Contract:** Contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Analysis of Variance (ANOVA), Data Centers, Planning Software, Automated Information System (AIS), Infor
- **Published:** August 22, 2026
- **Apply:** https://dejobs.org/x/x/32E470926F054D0B9FC3E88AFE5D8228/job/

## About the Role

* 5+ years of program management or technical project management experience
 * 6+ years of technical infrastructure management experience.
 * 6+ years of core project management disciplines including scope, schedule, budget, quality, along with risk and critical path management in supply-chain or cloud-infrastructure planning., * Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results, or experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits)
 * Hands-on success implementing enterprise planning suites (Connect, o9, Infor, Manhattan).
 * Track record of measurable improvements in forecast accuracy, inventory turns, or capacity-delivery cycle time.
 * Experience governing $100M+ capital budgets and navigating power/permitting constraints for data centers.

## Description

* Own the global S&OP cycle - Drive an end-to-end, monthly/quarterly cadence that aligns AWS demand signals with supply, power, and capital plans.
 * Deliver a trusted demand signal - Produce a single source of truth that reconciles financial plans, sales & growth outlooks, NPI roadmaps, transition ramps, and prior POR commitments.
 * Run executive planning forums - Frame one-way vs. two-way-door decisions, articulate trade-offs, and secure leadership alignment across AIS, EC2, S3, EBS, Finance, and Energy.
 * Architect planning systems - Guide software teams in automating demand-, supply-, and scenario-planning workflows (e.g., Connect, o9, Infor, Manhattan); own interim manual mechanisms until automation is in place.
 * Build decision frameworks - Develop constrained-planning models that surface risks and levers under power, permitting, or component shortages.
 * Measure what matters - Define KPIs and dashboards that quantify forecast accuracy, inventory turns, build-plan adherence, and capacity-delivery cycle time.
 * Champion continuous improvement - Sponsor digital-transformation sprints that simplify processes, eliminate waste, and raise planning maturity across AIS.


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