At Amazon, you'll work alongside the latest AI and GenAI tools that are increasingly woven into how teams operate: from AI-powered capabilities that accelerate decision-making, to Generative AI that helps you focus on work that truly matters. You'll have opportunities and resources to develop AI fluency at your own pace, with continuous learning built into the culture.
Amazon's Japan Last Mile (AMZL) Central Operations team is looking for a results-oriented Program Manager to join the Intra-week Planning (IWP) team. This role sits at the intersection of supply chain planning, operational execution, and cross-functional coordination. You will own end-to-end program management for intra-week planning mechanisms that drive delivery performance across the JP AMZL network.
The IWP team is responsible for short-horizon demand and capacity planning, ensuring the network meets customer promise while optimizing cost. As a Program Manager on this team, you will design, build, and continuously improve planning processes and mechanisms, partner with Science, Product, Finance, and field operations teams, and drive operational planning cycles that directly impact millions of customer deliveries.
職務概要（About the Role）
AmazonのJapanラストマイル（AMZL）セントラルオペレーションチームでは、週内計画（Intra-week Planning / IWP）チームに参画いただける、成果志向のプログラムマネージャーを募集しています。本ポジションは、サプライチェーン計画、オペレーション実行、およびクロスファンクショナルな連携の交差点に位置する役割です。JP AMZLネットワーク全体の配送パフォーマンスを推進する週内計画メカニズムについて、エンドツーエンドのプログラムマネジメントを担当いただきます。
IWPチームは、短期的な需要予測とキャパシティ計画を担い、コストを最適化しながらお客様へのお届け約束を確実に果たすことをミッションとしています。本ポジションでは、計画プロセスやメカニズムの設計・構築・継続的な改善を行い、サイエンス、プロダクト、ファイナンス、フィールドオペレーション各チームとパートナーシップを組みながら、数百万件のお客様配送に直接影響するオペレーション計画サイクルを推進していただきます。
Key job responsibilities
1. Supply Chain Planning & Forecasting: Own programs that improve intra-week demand forecasting accuracy and capacity allocation across the JP AMZL network. Translate forecasts into actionable operational plans.
2. Process Optimization: Identify inefficiencies in current planning workflows, design scalable solutions, and drive implementation. Establish mechanisms to sustain improvements over time.
3. Mechanism Building: Design and implement recurring operational mechanisms (WBRs, deep dives, escalation paths) that enable the team and stakeholders to inspect, learn, and act.
4. Cross-Organization Stakeholder Management: Serve as the connective tissue between field operations, central planning, science, product, and finance teams. Influence without authority to align priorities and drive outcomes.
5. Product Launches: Coordinate the planning and rollout of new products, tools, and process changes into the operational network. Manage launch readiness, risk mitigation, and post-launch validation.
6. Operational Planning Cycles: Drive team contributions to OP1/OP2, quarterly guidance (QxG), and other planning cycles. Develop narratives, define goals, build plans, and track commitments.
7. Data Analysis & Reporting: Perform quantitative analysis to support decision-making. Build and maintain dashboards, reports, and metrics that provide visibility into planning performance and program health.
主な職務内容（Key Responsibilities）
サプライチェーン計画・需要予測： JP AMZLネットワーク全体の週内需要予測精度およびキャパシティ配分を改善するプログラムをオーナーとして推進する。需要予測を実行可能なオペレーション計画に落とし込む。
プロセス最適化： 現行の計画ワークフローにおける非効率を特定し、スケーラブルな解決策を設計・実装する。改善を持続するためのメカニズムを構築する。
メカニズム構築： チームおよびステークホルダーが検証・学習・アクションを行えるよう、定常的なオペレーションメカニズム（WBR、ディープダイブ、エスカレーションパス）を設計・実装する。
クロスオーガニゼーション・ステークホルダーマネジメント： フィールドオペレーション、セントラルプランニング、サイエンス、プロダクト、ファイナンスチーム間の橋渡し役を担う。直接的な権限を持たない中で影響力を発揮し、優先事項を整合させ、成果を推進する。
プロダクトローンチ： 新しいプロダクト、ツール、プロセス変更のオペレーションネットワークへの導入計画とロールアウトを調整する。ローンチレディネス、リスク軽減、ローンチ後のバリデーションを管理する。
オペレーション計画サイクル： OP1/OP2、四半期ガイダンス（QxG）、その他の計画サイクルへのチーム貢献を推進する。ナラティブの作成、目標の定義、計画の策定、コミットメントのトラッキングを行う。
データ分析・レポーティング： 意思決定を支援するための定量分析を実施する。計画パフォーマンスおよびプログラムの健全性を可視化するダッシュボード、レポート、メトリクスを構築・維持する。
About the team
Your morning starts with reviewing the previous day's operational metrics — delivery performance, capacity utilization, and any misses that need immediate attention. From there, you move into the latest intra-week forecast outputs, checking where demand is trending versus plan and flagging gaps to the team. You join a stand-up with planners and field ops leads to align on today's capacity adjustments, then pivot to a deep dive on a recurring delivery performance miss you've been investigating. By mid-morning you're in a working session with the Science team, reviewing model accuracy metrics and scoping an improvement initiative.
After lunch, you lead a cross-functional sync with Product and Finance to finalize the rollout plan for a new planning tool launching next week — walking through the risk register, confirming readiness gates, and assigning last-mile owners. You spend the later afternoon building the narrative for the upcoming QxG review, pulling data from dashboards you've built to tell the story of the team's progress and where investment is needed next. Before wrapping up, you update your program tracker, respond to a few stakeholder questions on Slack, and prep the agenda for tomorrow's WBR.
No two days are exactly the same, but the rhythm is consistent: metrics, data, mechanisms, stakeholders, delivery.
Basic Qualifications
- Speak, write, and read fluently in English
- Bachelor's degree
- 5+ years of defining and implementing process improvement initiatives using data and metrics
- 5+ years of program/project management experience, including strategy development, execution, and influencing senior stakeholders
- 5+ years of working cross-functionally with tech and non-tech teams
Preferred Qualifications
- 5+ years of driving end to end delivery, and communicating results to senior leadership experience
- 5+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Master's degree
- Speak, write, and read fluently in Japanese
- 3+ years of capacity planning, operations planning, business analysis or similar experience
- Experience in program management, logistics, operations, supply chain, transportation, or equivalent
- Programming skills in Python for automation and data analysis
- Experience writing narratives (6-pagers, PR/FAQs) and contributing to OP/QxG cycles
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
