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Sr. Fleet Reliability Lead, Middle Mile Fleet Management

Amazon is hiring a Sr. Fleet Reliability Lead, Middle Mile Fleet Management in Nashville, United States. It pays $126k-$170k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions fleet management, data analysis and vendor management among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Lead fleet reliability and vendor quality programs for middle-mile transportation assets to maximize uptime and reduce operational costs.

fleet-managementdata-analysisvendor-managementreliability-engineering
How often have you had an opportunity to be part of a team that is tasked with solving a huge business problem through disruptive, innovative technology? If you want to join a fast-paced, innovative team that is making history, reinventing an industry and breaking new ground for Amazon, this is the place for you! Surface Transportation org is expanding and introducing new capabilities to our Fleet Management business that supports all Middle Mile assets (tractors, trailers, box trucks, hostlers). In this role you will deliver world class solutions while wearing many hats and working in a highly collaborative environment that is more startup than big company.

This role will require strong leadership skills, ability to identify trends with limited data and interaction/influence with teams across Amazon to drive the development of our maintenance business. This Industry Specialist will be responsible for defining the vision, roadmap and driving program execution of our Fleet Management business with a specific focus on maximizing uptime and reducing cost for non-powered assets. A core pillar of this role is building and scaling a world-class Vendor Quality Audit Program — establishing a multi-tiered accountability framework spanning vendor self-audits, external auditor reviews, and internal quality assurance audits to drive repair standards, reduce defects, and improve Mean Time Between Groundings across the fleet. Success in this role requires the ability to work with large, complex data sets — extracting actionable insights, identifying failure trends, and translating data into decisions that drive fleet performance and vendor accountability.

In addition, this role will own the strategy and execution for our growing Electric Vehicle asset (e.g. Hostler) space within Middle Mile, with a focus on driving asset reliability and improving Mean Time Between Groundings across our Electric Vehicle assets (e.g. Hostler). This includes identifying and addressing root cause failure patterns — including propulsion system defects, Vehicle Maintenance Reporting Standard (VMRS) data gaps, and recurring downtime drivers — to improve asset health and close the gap between current uptime performance and our financial plan and stretch Mean Time Between Grounding (MTBG) targets. The role requires deep asset-level analytical rigor, working across OEM partners, 3P vendors, and internal stakeholders to surface failure trends, validate repair outcomes, and ensure the fleet is performing to standard.

Key job responsibilities
Identify top contributors to assigned asset downtime and develop targeted programs to mitigate failure patterns and improve fleet reliability.
Drive program objectives by providing end-to-end program management — defining project plans, managing implementation activities, and developing processes, documentation, and communications for program rollout and ongoing support.
Author whitepapers to gain initial buy-in and stakeholder alignment, as well as provide structured status updates as programs complete critical milestones.
Identify key performance metrics and build a reporting suite that enables effective program management at full scale.
Serve as the Subject Matter Expert (SME) for assigned assets, developing an A-to-Z understanding of asset systems and providing informed support to internal customers and cross-functional partners.
Drive resolution of critical asset issues and lead deep dives into supporting processes and systems to ensure thorough root cause analysis, corrective action, and measurable improvement in customer experience.
Define key performance indicators — develop metrics and service level agreements for core programs and processes, and track delivery against program objectives as they relate to assigned Middle Mile assets.

About the team
Attention Amazonians exploring new roles within our company! We've streamlined the process to ensure fair consideration for all internal candidates. If you're in the US, start by using the 'Request Informational' button at the top of the job listing to set up a meeting with the hiring manager. For those in other locations or if the Request Informational button is unavailable, please reach out directly to the hiring manager.

After making your Informational Request, allow seven days for a response from the hiring manager. You can check your status on Amazon Jobs or the internal transfer workflow portal, if available in your region. If your request is still under consideration after seven days, feel free to contact the hiring manager directly.

For more detailed information about the process, from pre-application to pre-offer stages, visit the Internal Candidate Resource on MyHR. This comprehensive guide provides FAQs and valuable guidance to support your internal transfer journey. Remember, this process is designed to make your transition as smooth as possible. If you have any questions along the way, don't hesitate to reach out to your HR partner. We're here to support your growth and development within Amazon.


Basic qualifications

- 5+ years of design & innovation, research & development work experience
- Bachelor's degree in Engineering or a foreign equivalent
- Experience with design & innovation and research & development
- Experience in management of engineering design projects
- Experience using business or technical software like MS Excel, MS Project, and CAD software

Preferred qualifications

- 5+ years of specialty (with progressive responsibility) experience
- Master's degree in Engineering (any domain), Operations, Business Administration, or a related field
- Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, electronic system design, and decision making
- Experience with complex automated material handling equipment, packaging technologies, and systems and high-speed manufacturing
- Experience with design-in-safety
- Experience working with large, complex data sets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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, TN, Nashville - 125,500.00 - 169,800.00 USD annually
USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually

How we rate this

Sr. Fleet Reliability Lead, Middle Mile Fleet Management at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fleet ManagementData AnalysisVendor ManagementReliability Engineering

Questions you could be asked

  1. Tell me about a project where fleet management was part of your work. What did you do?
  2. Tell me about a project where data analysis was part of your work. What did you do?
  3. Tell me about a project where vendor management was part of your work. What did you do?
  4. Tell me about a project where reliability engineering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Fleet Management, Data Analysis, Vendor Management, and Reliability Engineering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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