Data Center Asset & Documentation Specialist

Amazon Web Services (AWS)

Herndon (VA)

On-site

USD 56,000 - 97,000

Full time

13 days ago
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Benefits offered by this job

Health insurance
RSUs
Paid time off
Parental leave
401(k) matching

Job summary

Amazon Data Services, Inc. is seeking a Data Center Asset & Documentation Coordinator to manage site asset and spare parts data through MBOMs in PLM. You will ensure accuracy of digital records and collaborate across FE, Ops, and cross-functional partners to maintain data integrity.

In this role, you will drive data scrubs, correct anomalies, and explore automation. You will partner with developers/TPMs to implement AI solutions that improve process efficiency and speed.

Qualifications

  • 2+ years of program or project management experience.
  • 2+ years of advanced Microsoft Word and Excel experience.
  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field.
  • Experience working in engineering, data center, or technical operations environments.

Responsibilities

  • Set up and maintain site asset and spare parts data through MBOMs in PLM.
  • Align data with FE and Ops teams and maintain data in PLM systems.
  • Perform routine data scrubs and correct anomalies, and explore automation to enhance processes.
  • Collaborate with developers/TPMs to incorporate AI solutions to improve efficiency.

Skills

Program management
Microsoft Word
Microsoft Excel

Education

Bachelor's degree in Electrical/Mechanical Engineering or related field

Tools

Microsoft Word
Microsoft Excel

Job description

Amazon Data Services, Inc. is seeking a Data Center Asset & Documentation Coordinator to manage site asset and spare parts data through MBOMs in PLM. You will ensure accuracy of digital records and collaborate across FE, Ops, and cross-functional partners to maintain data integrity.

In this role, you will drive data scrubs, correct anomalies, and explore automation. You will partner with developers/TPMs to implement AI solutions that improve process efficiency and speed.

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