Amazon
Program Manager Intern, AWS Cloud Logistics
SGP
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hirly's read of this role
- Role family
- Supply chain
- Seniority
- Internship
- Country
- SG
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
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the posting
*Internship period: January to June 2027
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Are you interested in global supply chain operations, data, and process improvement? AWS Cloud Logistics (ACL) is seeking a detail-oriented Technical Program Management Intern to join our Business Intelligence team in Singapore. In this role, you'll help complete a major data platform migration, enhance documentation systems, improve data quality across our logistics operations, and support the business intelligence that AWS's global infrastructure supply chain runs on.
- Key job responsibilities
- - Lead documentation improvement initiatives across the team's reporting estate, building a documentation baseline that includes a dataset catalog, dashboard inventory, and runbooks
- - Coordinate and track open migration items across teams, maintaining a named owner and a target date for each item through to completion
- - Support the expanding scope and clean-up of data quality metrics spanning transportation, warehousing, and sustainability
- - Help build self-serve data quality tooling so teams can answer their own data quality questions across operational domains
- - Manage and track data quality issue resolution across various platforms
- - Support business intelligence and data analytics projects, including data preparation for recurring business reviews
- - Collaborate with cross-functional teams to update and maintain knowledge management systems
- - Assist with reporting system configurations, access management, and operational support
- - Support the retirement of legacy data infrastructure through inventory building and decommissioning coordination
- A day in the life
- You start with the migration tracker: what moved, what is blocked, and who owes the next step. Mid-morning you join the BI team sync, then follow up with the engineers on both sides of the migration to close out open items. Afternoons go deeper: documenting a dataset or dashboard, investigating a data quality issue raised by a stakeholder, or preparing data for an upcoming business review. You end most days having written something down that the team will still use after your internship ends.
- About the team
- AWS Cloud Logistics (ACL) manages a continuously evolving portfolio of shipments through a worldwide supply chain. We deliver the right product at the right time, cost, and place - ensuring our AWS supply chain is reliable. You will work in a fast-paced environment where your contributions will have direct impact on operational efficiency and customer experience. Our team values builders who write things down, simplify complexity, and leave processes better than they found them.
- Diverse Experiences
- AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
- Why AWS?
- Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
- Inclusive Team Culture
- Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
- Mentorship & Career Growth
- We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Work/Life Balance
- We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
#auta-sg #auta-asean
Basic qualifications
- - Currently enrolled in school for bachelor or above degree in Supply Chain Management, Logistics, Business Analytics, Computer Science, Engineering, or related field, graduating between Aug 2027 – Aug 2028
- - Interest and background in business intelligence and data analytics
- - Excellent business and communication skills, high attention to detail
- - Candidates must be able to legally work in Singapore.
- - Able to commit full-time internship.
Preferred qualifications
- - Previous internship experience in program management, supply chain operations, and/or technical documentation
- - Familiarity with wiki platforms and documentation systems
- - Working knowledge in business intelligence/analytics (e.g. SQL, Python, etc.)
- - Exposure to AWS analytics services (e.g. Amazon Redshift, AWS Glue, Amazon QuickSight)
- - Experience in global transportation and/or logistics operations
- - Strong organizational skills with ability to manage multiple priorities
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.
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