Description

Amazon’s global last-mile operation is always evolving. As a Process Improvement Manager, you’ll streamline and elevate our processes. You’ll work with management teams to help us meet a number of operational goals, touching on topics including customer service and productivity. This dynamic role offers plenty of opportunities to continue learning every day.

Key job responsibilities

Plan and implement continuous improvement initiatives designed to innovate the driver experience and make our processes more efficient

Audit processes for compliance and work to close any gaps

Analyse feedback and use data to own and implement process improvements at the site

Work with station management and other stakeholders to identify and solve process-related issues

A day in the life

As a Process Improvement Manager, you’ll be at the forefront of making Amazon’s logistics better – which means improving safety, productivity, and quality. Part of your role will involve running observations and audits to identify where processes could be enhanced. Another part of your role will be recommending changes and using your project management and stakeholder management skills to put new processes in place.

You’ll be based at one of our sites and accountable for positively influencing operational efficiency at the site. If needed, you will carry out analysis at other local or national sites. On top of dealing with productivity and safety, you’ll have the opportunity to share best practices and ideas with our EU network. In this role, you’ll use data to drive improvements and continue to grow our shipping capabilities.

About the team

As part of Amazon Customer Excellence Systems (ACES) team, we work to continually improve the Amazon Logistics experience. We look after high-impact initiatives and help to develop, roll out and look after a range of logistics-focused projects. Recent examples include launching and expanding micro-mobility delivery (via e-cargo bike or on foot) across Europe and electric vehicle delivery. Using data-driven tools, we’re able to see how we can make processes better and more efficient, or how we can reduce waste across the business.

Our team supports field operations to launch new programmes and technology-based solutions across Europe, helping them meet customer demand and drive customer-focused innovation. We’re also responsible for raising the bar for our learning teams and making the onboarding experience for Associates, Delivery Partners and Managers as engaging as possible.

There are lots of different opportunities within the ACES team, so we welcome people with a broad range of skillsets. We work across a network of 200+ delivery stations to make sure everything from onboarding to delivery methods are as effective as possible. At its core, we work to make Amazon a safe, enjoyable place for our people and ensure on-time deliveries, always.

We are open to hiring candidates to work out of one of the following locations:

Lengede, NI, DEU

Basic Qualifications

A degree in business, supply chain, transportation, economics or a technical field

Relevant experience in using data or anecdotal evidence to influence business decisions

Relevant experience of communicating with a wide range of stakeholders, including your peers and leadership

Preferred Qualifications

Preferred qualifications are not required to apply for a position at Amazon. If you have all the basic qualifications above, we’d love to hear from you.

Experience in Lean, Six Sigma and Kaizen techniques

Experience with supporting tools (e.g., Minitab, JMP, MS Excel and MS Access)

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.

m/w/d