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- Amazon Jobs View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed October 7, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Not Specified
- Pay provenance
- Employer-provided pay
Job Description
The AWS Data Center Availability Serviceability team works with hundreds of AWS data centers globally to deliver the highest quality and lowest cost availability, capacity, and scaling results for our customers.
Key Responsibilities
- You will own the development and delivery of a multi-year roadmap to establish comprehensive MBOM coverage across the global AWS fleet. Working with stakeholders across Field Engineering, DCEO, vendors, and lifecycle data teams, you will scale AI-powered pipelines that extract MBOM data from vendor documentation, define per-equipment MBOM standards, and design the processes for establishing MBOMs where source documentation does not exist. Your work sets the foundation for programmatic spares identification, criticality assessment, and fulfillment -- ensuring the right parts are available at the right locations before failures occur. You will build the mechanisms that keep MBOM data current as the fleet grows, diversifies into new cooling technologies, and introduces new vendors.
- You will own a program that is genuinely novel -- building something that didn't exist two years ago, using AI tooling that is still maturing, against a problem (fleet-wide MBOM completeness) that no one has solved at this scale. You will operate in high ambiguity with real ownership to define what good looks like. You will work across PLM systems, enterprise asset management, spares strategy, and physical equipment -- giving you breadth that most TPM roles don't offer. And your output has direct, measurable impact: every MBOM you complete makes the fleet more repairable.
- Key job responsibilities
- Own MBOM program strategy, execution, and completeness metrics across the global fleet
- Operate and scale AI-assisted pipelines that convert vendor documentation into governed MBOM records
- Define and execute the process for establishing MBOMs where vendor documentation is limited or unavailable
- Ensure MBOM data flows into criticality assessments and stocking decisions within the Critical Spares program
- Define per-equipment MBOM standards in partnership with Field Engineering and equipment owners
- Build mechanisms to maintain MBOM accuracy as new equipment deploys and the fleet evolves (including liquid cooling)
- Drive cross-functional coordination across Availability, Field Engineering, DCEO, and lifecycle data teams
- Use data and metrics to measure program health, prioritize effort, and communicate progress
- Write narratives (one to six pages) and present to Director-level leadership
- Travel up to 10%
- A day in the life
- You will split your time between program execution and cross-functional coordination. On any given day you might be reviewing AI pipeline output quality with the tooling team, defining MBOM standards for a new equipment type with Field Engineering, working with a vendor to obtain documentation for legacy equipment, analyzing coverage gaps to prioritize the next tranche of MBOMs, or presenting program status and trade-off decisions to leadership. You will operate at both the strategic level - setting the roadmap for fleet-wide MBOM completeness - and the tactical level - digging into specific equipment families where data doesn't exist.
Requirements
- 3+ years of technical product or program management experience
- 3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- 2+ years of analytical, quantitative, communication, and presentations experience
- 2+ years of experience with bill of materials, spare parts management, or enterprise asset management (CMMS/PLM) systems
- Experience with data analysis tools such as Excel, Pivot Tables, SQL, Tableau, etc.
- Knowledge of data center infrastructure design, operations, or delivery
- Experience working closely with development and business teams to communicate problem impacts and to understand business requirements
- Experience interpreting technical or engineering documentation such as drawings, parts lists, vendor manuals, or specifications
- Experience operating or managing AI/ML-assisted tools, automation pipelines, or data engineering workflows
- Experience working with vendor technical teams or OEM partners
- 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.
- 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, VA, Herndon - 127,100.00 - 172,000.00 USD annually
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