Logistics Optimization Manager, Shared Mobility Program

vor 1 Woche

Munich, Deutschland Amazon TA Vollzeit

We are seeking a Process Improvement Specialist to streamline and elevate our
processes and drive program improvement and optimization within the Amazon
Shared Mobility Partner business in Germany. The Manager will be strong with
data, automation tools and SQLPython to automate our processes and increase
our efficiency to enable us to deliver bigger results. The Manager will also
be strong on partnering with station managers and operators in order to
identify process and program improvements.

The Amazon Shared Mobility Partner program is a new model to enable Amazon to
support speed initiatives and on demand capacity in the European Union. This
program is powered by a mobile app that works in concert with our advanced
logistics systems that allows SMPs to on-board, schedule delivery times, guide
them through their deliveries with in-app mapping and navigation, and more.
The approach and technology are disruptive and promise to challenge
traditional approaches, changing the way the industry operates.

The successful candidate will be self-motivated, passionate, analytical and
detail-oriented, possess superior interpersonal and communication skills, and
be comfortable working independently to drive growth and change in a fast-
paced environment. An extreme bias for action and being with data is an
absolute must, and candidates must demonstrate a track record of delivering
results.

Key job responsibilities
Find opportunities to automate and optimize existing Last Mile processes. This
includes, but not limited to, our scheduling, labor planning, routing capacity
management and forecasting.

You will partner with the Amazon Logistics DE team to deploy program, process
and station improvements. The successful candidate will also manage AMZL and
SSD-D stations where we operate this program by partnering with station
operations in order to improve the driver experience under the roof,
optimizing scheduling processes and enhancing driver capacity in order to hit
cost, safety, quality targets for the program. Another part of the role will
be recommending changes and using your project management and stakeholder
management skills to put new processes in place.

Partner with WW Flex Last Mile teams to understand common challenges to adopt
standard practice and identify opportunities to collaborate with tech teams to
build automated tooling and solutions to hand off our processes.

A day in the life
As a Process Improvement Specialist , you’ll be at the forefront of making
Amazon’s logistics better – which means improving safety, productivity, and
quality.

You will partner with the Amazon Logistics DE team to deploy program, process
and station improvements. The successful candidate will also manage 3P partner
suppliers by optimizing scheduling and routing and enhancing driver capacity
in order to hit cost, safety, quality targets for the program. Another part of
the role will include partnering with station managers and associates to
determine current pain points in the program, root cause problems and identify
short and long term solutions to improve partner and driver experience while
achieving business metrics.

The successful candidate will be based in Munich, DE. The candidate will be
expected to visit Delivery Stations across Germany. 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.

About the team


### BASIC QUALIFICATIONS

- A degree
- Advanced data-related skills including Excel, Python, SQL.
- 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
- Ability to travel across different stations in Germany Middle Europe
- Advanced proficiency in document writing.

### PREFERRED QUALIFICATIONS

- Degree in business, supply chain, transportation, economics or a technical
field.
- Experience manipulating and presenting data with Excel.
- Experience in Lean, Six Sigma and Kaizen techniques
- Experience with supporting tools (e.g., Minitab, JMP, 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.jobsenprivacy_page) to know more about
how we collect, use and transfer the personal data of our candidates.

mwd

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