Amazon
Fleet Process Excellence Insights Manager, Fleet Process Excellence, Global Fleet and Products
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Fleet Process Excellence Insights Manager, Fleet Process Excellence, Global Fleet and Products
Fleet Process Excellence Insights Manager
At Amazon, we're working to be the most customer-centric company on earth. One customer experience we constantly aim to elevate is how we fulfil and deliver orders—quickly, accurately, anywhere in the world. To meet this ambition, Amazon is pioneering new solutions in last-mile delivery, including in the branded fleet operations space. Join a team dedicated to driving innovation, collaboration, and measurable results.
The Fleet Process Excellence (FPE) team, part of EU Fleet Operations, focuses on delivering measurable cost optimisation across our European delivery fleet. Based across multiple EU countries, we work with internal stakeholders (e.g., Last Mile teams) and external partners, including Delivery Service Providers (DSPs), Fleet Management Companies (FMCs), and Original Equipment Manufacturers (OEMs).
About the Role
We are looking to appoint a Fleet Process Excellence Insights Manager to take end-to-end ownership of our fleet cost insights pipeline. This isn’t a reactive support role—you’ll proactively identify cost optimisation opportunities, build robust data-driven foundations, and translate complex insights into clear, actionable recommendations that drive decisions at the Director and Regional levels.
As the technical backbone of the FPE team, you’ll be our go-to expert in coding, automation, data solutions, and business intelligence (BI). You’ll directly tackle large, novel datasets (e.g., cost-per-package (CPP), vehicle off-road rates (VORR), and operational cost drivers) to uncover game-changing savings opportunities—without waiting for direction.
Success in this role requires independence, strong communication skills to bridge technical and non-technical audiences, and a knack for working in ambiguity while delivering #Results with minimal supervision.
Key Responsibilities
- Own the end-to-end fleet cost insights pipeline: Design, build, maintain, and automate data pipelines and reporting systems that provide a single source of truth on fleet cost performance, including:
- Cost-per-package (CPP)
- Vehicle off-road rates (VORR)
- Cost-by-station
- Cost-by-Delivery Service Provider (DSP)
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Proactively identify cost optimisation opportunities:
- Apply statistical analysis to recognise trends, gaps, and savings levers.
- Quantify and present impactful findings with actionable recommendations for senior leadership.
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Develop and maintain performance dashboards: Build executive-ready visualisations with key cost metrics for Directors and Regional leaders, ensuring stakeholders can quickly grasp trends without boggling down in datasets.
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Drive automation and data tooling: Create scalable, automated solutions including:
- ETL (Extract, Transform, Load) pipelines
- API integrations
- Serverless data processing These solutions reduce manual workloads and improve data accuracy.
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Translate data for non-technical stakeholders:
- Collaborate with Regional Fleet Managers, Finance, and Operations to turn complex data insights into strategic decisions and actions.
- Focus on the "so what", not just the numbers—ignite impact throughout the organisation.
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Lead cross-functional data projects:
- Collaborate across teams and regions to improve:
- Reporting
- Data standardisation
- Process automation
- Collaborate across teams and regions to improve:
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Build and own scalable data models:
- Design warehouse structures and data models that repeatably support analysis of operational cost drivers.
Requirements
Basic Qualifications
| Criteria | ✅ Evidence of Experience |
|---|---|
| Large-scale data analytics & data warehousing | Qualifies: Life Experience |
| Reporting & data visualization (tools: Quick Sight, Tableau, Power BI, etc.) | Qualifies: Life Experience |
| Data modelling, ETL pipelines creation & warehousing | Qualifies: Life Experience |
| Clear communication of results to senior leadership | Qualifies: Life Experience |
| Solved complex business challenges | Qualifies: Life Experience |
| - Demonstrated proven financial/operational impact (e.g., savings, efficiencies, customer value) | |
| Academic background | Bachelor's degree or above in: |
| - Computer science, engineering, mathematics, operations, logistics, supply chain, or related fields | |
| OR | Experience building,maintaining data pipelines equivalent to said degree. |
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Preferred Qualifications
- Experience: Program management, logistics, operations, supply chain, transportation (military or equivalent)
- *Financial modelling & P&L analytical experience
- Quantitative role background: Engineering, process re-engineering, quality assurance
- Technical acumen: Big Data, DevOps, Machine Learning, Cloud, Security, or Software Development
- Education: Advanced like Associate/Bachelor's+, with relevant focus in operations research, applied mathematics, computer science
- Developed: Measures/metrics, customised reporting solutions
- Skilled: Matrixed environments where strategy influences & teamwork cuts across departments for modular goal achievement
Additional Highlights
- Join Amazon UK Services Ltd., a company that operates globally but champions local, inclusive culture.
- Step up for a position with a Job ID: A10463511.
Amazon fosters:
- Equitable opportunities for diverse candidates, including those with:
- Protected veteran status
- Disability
State your inclusive Crew commitments:
- If you have a disability, need accommodations (e.g., during application or interview/onboarding stages), please visit: Amazon Accessibility.
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