Fleet Data Manager (Fixed-term contract), Amazon's Fleet Procurement and Capacity Planning

Amazon is hiring a Fleet Data Manager (Fixed-term contract), Amazon's Fleet Procurement and Capacity Planning in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

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

AI in this role

Manage international fleet data reliability, vendor relationships with Fleet Management Companies, and data pipelines supporting Amazon's planning systems.

Excel

data-operationsvendor-managementdata-qualitysla-managementprocess-improvement

Amazon's Fleet Procurement and Capacity Planning (FPAC) team manages a large-scale international commercial vehicle fleet across 10 European markets. This fleet depends on accurate, timely data flowing between two Fleet Management Companies (FMCs), Amazon's internal planning systems, and multiple cross-functional stakeholders.

This role owns the operational delivery and quality of all fleet data provided by FMCs (Ayvens and Arval) to Amazon. You will be the single-threaded owner ensuring that vehicle lifecycle data (from order placement through deployment, maintenance, defleeting, and remarketing) is delivered per contractual SLAs, meets validation standards, and flows reliably into the planning tools and reporting mechanisms that drive fleet capacity decisions.

This is a hands-on data operations and vendor management role. You will spend the majority of your time ensuring data reliability, resolving reporting failures with FMC technical contacts, and supporting the internal teams who depend on this data to make procurement and capacity decisions worth hundreds of millions in OPEX annually.

Please note that this is a 12 months fixed-term contract.

Key job responsibilities
1- Maintain Fleet Data Reliability
- Own the end-to-end data delivery relationship with Ayvens and Arval technical points of contact, ensuring reporting against established SLAs and contractual obligations
- Monitor, triage, and resolve data quality issues across SDR (Supply Delivery Reporting) and SRR (Supply Return Reporting) pipelines, including idle stock positions at VIN level
- Support Weekly Business Reviews and Variable Last Mile Rentals reporting cadences by ensuring upstream data is accurate and delivered on time
- Escalate systemic data failures through the appropriate FMC governance channels (Monthly Business Reviews, performance reviews).
2- Enable Planning Tools and Downstream Consumers
- Ensure data feeds into FORCE (Fleet Optimization, Requirement and Control Engine) and FAB (Fleet Allocation and Balancing) meet signal integration requirements
- Partner with the MAPS team (Mid-Term Planning) and Fleet Planning to resolve data gaps that block planning accuracy and automation
- Triage new data requests from internal stakeholders against existing data specifications; eliminate redundancy before placing additional requirements on FMCs
3- Drive Continuous Improvement

- Identify and implement process improvements to reduce manual data reconciliation effort
- Develop monitoring mechanisms to proactively flag reporting inaccuracies before they propagate into planning decisions
- Document and maintain the fleet data catalogue, including ownership, refresh cadences, quality thresholds, and known limitations
- Ensure any new fleet programs (LMR expansion, new country launches, Middle Mile integration) include data requirements in vendor agreements from the outset
4- Cross-Functional Coordination

- Align with Fleet Partnerships (FMC contractual owners), Fleet Deployment & Redeployment, Planning, and GFPA (Global Fleet Planning Analytics) on data priorities and dependencies
- Influence FMC behavior through performance metrics and contractual accountability rather than direct authority
- Represent data requirements in FMC governance forums (MBR/QBR)

A day in the life

Basic qualifications

- Bachelor's degree or equivalent
- Experience working with data analytics and using these metrics to identify problems, or experience in an operational role
- Experience in vendor management, or experience in operations and on-call support for data center facilities, mission critical plants, or production facilities
- Experience performing data analysis and troubleshooting data integrity issues

Preferred qualifications

- Experience in transportation or supply chain within a high-volume logistics, manufacturing or engineering environment
- Experience working within a global company, with multi-country responsibilities
- Experience in procurement, supply chain, inventory management, contract management, lease administration or operations
- Experience managing data pipelines
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.

How we rate this

Fleet Data Manager (Fixed-term contract), Amazon's Fleet Procurement and Capacity Planning 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.

Key facts

Fleet Data Manager (Fixed-term contract), Amazon's Fleet Procurement and Capacity Planning is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in GB, London.
The job was posted on August 5, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data OperationsVendor ManagementData QualitySla ManagementProcess ImprovementExcel

Questions you could be asked

Tell me about a project where data operations was part of your work. What did you do?
Tell me about a project where vendor management was part of your work. What did you do?
Tell me about a project where data quality was part of your work. What did you do?
Tell me about a project where sla management was part of your work. What did you do?
Tell me about a project where process improvement was part of your work. What did you do?

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List these exact terms on your resume: Data Operations, Vendor Management, Data Quality, Sla Management, and Process Improvement. 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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