The Data Center Field Engineering Team is the engineering owner for the lifecycle of AWS data centers. This includes supporting new designs/innovations through data center end-of-life, with a focus on root cause analysis of failures, capacity and availability improvement, and optimization of the existing fleet.
As a Data Center Asset & Documentation Coordinator, you are highly organized, detail-oriented, and an effective communicator, both written and verbally. This role requires both effective contributions as well as the ability to work within multi-disciplinary teams. The scope of this role will include but not limited to owning the process from start to finish with deploying the MBOMs (Manufacturer Bill of Materials) in PLM (Product Lifecycle Management) systems. Review engineering/asset documents to extract and input parts list in internal templates and systems; maintain accuracy for reporting and extraction in the event of large scale events. As part of the global FE Portfolio team, you will help drive global processes and document development. This role acts as the gatekeeper for mission critical data in PLM, responsible for the accuracy and reports produced in PLM through MBOMs.
You will work closely with Field Engineers, operations staff, and cross-functional partners to ensure that asset and spare part documentation is accurate and usable. You must be skilled at asking relevant questions, gaining alignment from the right stakeholders, and driving clarity when information is missing or incorrect. You must possess strong organizational skills, and the ability to build effective working relationships across teams.
Key job responsibilities
The Data Center Asset & Documentation Coordinator will be responsible for setup and maintaining site asset and spare parts data through MBOMs. They will work to ensure that asset and spare part details are captured to match the digital record. They will work with corresponding teams (FE and Ops) to align and maintain the data in PLM systems. They will proactively perform routine data scrubs, identify and correct any anomalies, while continuously looking for ways to automate and enhance processes. They will also work with developers/TPMs to incorporate AI solutions to improve process efficiency and speed.
BASIC 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.
PREFERRED QUALIFICATIONS
- 1+ years building BOMs in Product Lifecycle Management application
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, OR, Umatilla - 55,600.00 - 97,400.00 USD annually
USA, WA, Seattle - 80,200.00 - 97,400.00 USD annually