Supply Chain Project Manager

- 3+ years of program or project management experience, or a Bachelor's degree and 3+ years of working cross functionally with tech and non-tech teams experience
- 4+ years of defining and implementing process improvement initiatives using data and metrics experience
- Bachelor's degree in a relevant field or equivalent work experience
- 2+ years of supply chain experience
- Speak, write, and read fluently in Japanese
- Knowledge of Excel (Pivot Tables, VLookUps)
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules

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Amazon's mission is to be "Earth's most customer-centric company." To achieve this, we invest in building high-quality transportation networks and services, with a particular focus on expanding and improving our own delivery network.

In this position, you will be responsible for building processes, implementing improvements, and developing mid-to-long-term strategies for Amazon's middle mile truck transportation planning operations. The role involves determining the number of trucks and scheduling based on weekly volume forecasts, and placing orders with transportation companies. You will collaborate with internal teams (Business Planning, Systems Development, Finance, and Operations) as well as external partners including transportation companies and 3PLs.
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.

Key job responsibilities
1. Process Development and Improvement
- Lead weekly transportation planning process development and improvement projects
- Manage system implementation projects from the business perspective to automate operations
- Drive stakeholder management and alignment across internal/external partners
- Identify operational challenges and lead process improvement initiatives
2. Data Analysis and Problem Resolution
- Analyze data to optimize truck fleet size and scheduling
- Identify and resolve issues within the department's scope
- Escalate cross-functional challenges to appropriate teams
- Develop mid-to-long term improvement plans for system development requirements
3. Annual Planning
- Develop annual transportation planning strategies
- Research best practices from Amazon's US and EU operations
- Create actionable plans incorporating improvement targets, expected outcomes, and timelines
- Collaborate with domestic and international stakeholders to ensure feasible implementation

A day in the life
Example:
- 9:00 - Review daily action plans and check emails/messages
- 10:00 - Review sessions with upper management to strengthen planning initiatives
- 12:00 - Lunch at Amazon Cafeteria
- 13:00 – Conduct/negotiate with other team leaders to ensure all projects on track
- 15:00 - Monitor progress of implemented projects and provide follow-up as needed
- 16:00 – Propose new business opportunities based on data driven approach.
- 17:00 – Check all daily activities and prepare for the next day


About the team
The JP S&OP Team brings together professionals from diverse backgrounds, including consulting, web development, and manufacturing - not just logistics. We welcome candidates regardless of their logistics experience.
We prioritize "Work-Life Harmony" and foster an environment where employees with different backgrounds can thrive together. With our full-flex working style, team members, including working parents, can easily balance their work and personal lives.

◆Employee Interview
◆What's a day in the Amazon office like?
◆Tokyo, Meguro
◆Employee Benefits
◆Working Hour: Fully-Flex, No Core Time