Sr Supply Chain Manager, Surface Transportation

Amazon UK Services Ltd.
London
1 year ago
Applications closed

Related Jobs

View all jobs

Sr. Data Scientist

Sr Clinical Data Scientist CDM (Hybrid - Europe)

Senior Clinical Data Scientist, CDM Europe (Hybrid)

Senior Data Scientist

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Amazon’s Supply Chain Managers play a central role in our global business. They keep our complex, international supply chains working seamlessly and efficiently. As a Supply Chain Manager, you will work closely with multiple stakeholders across Amazon, from Operational teams who are fulfilling customer orders to Retail teams and everything in between. You’ll help us optimise our supply chains to make our customer experience even better and our business more energy and cost efficient.



Key job responsibilities
-Create innovative solutions using data and research to address wider challenges in your organisation
-Take a big-picture approach in your analysis of business operations, driving improvements across a range of teams and organisations
-Work alongside senior leadership to establish and prioritise improvement programmes, seeing them through from start to finish
-Define supply chain and operating models for various businesses
-Analyse and interpret data to improve efficiency across supply chains and multiple operations
-Partner with teams to advise on and manage operational challenges
-Support the planning and organisation of complex projects

A day in the life
Being a Supply Chain Manager for Amazon involves lots of problem solving. You’ll work with a number of teams to navigate challenges as and when situations impact our network. You’ll spend time resolving temporary issues and looking at the bigger picture to drive Amazon towards achieving new objectives. This role is both proactive and reactive, and you’ll have the opportunity to help forecast and plan for new projects.

As a Supply Chain Manager, you’ll need to help with both on-the-ground tasks and more tactical work. No two days will be the same. You could spend one day helping to define our supply chain and operating models and the next assisting with a site’s resource plan for a busy period. Having so much variety in your role means you’ll be able to learn something new every day.

This role is based at one of our European headquarters. There may be flexibility to choose your location or work remotely on occasion.

About the team
Amazon couldn’t deliver at pace without the Amazon Transportation Service (ATS) team. As part of ATS, you’ll be welcomed into a diverse team that plays a central role in our success. Using air, sea and road transport, as well as sortation centres equipped with the latest technology, you’ll help Amazon’s transport run at maximum efficiency. Our team captures data and uses it to drive decisions. They are key to making Amazon more innovative and efficient.
We put safety first as our people are our priority. And we use the expertise of our people to get packages to their destination – quickly, conveniently and sustainably.

BASIC QUALIFICATIONS

- A degree
- Relevant experience in analysing data and creating reports for leadership
- Relevant experience of communicating with a wide range of stakeholders, including your peers and leadership
- Relevant experience in managing multiple projects with competing deadlines
- Advanced proficiency in verbal and written English
- Proficiency with data analysis systems (SQL, Python, Excel)

PREFERRED QUALIFICATIONS

- Previous experience as Business Analyst or Data Scientist
- A degree in a science, technology, engineering or mathematics-related subject or MBA
- Upper intermediate proficiency in the local language
- Relevant experience in a supply chain, logistics, e-commerce, or transportation planning role
- Experience using data visualisation software, such as Tableau or Quicksight

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.