Predictive Maintenance Specialist

Volvo Group / Maskiningenjörsjobb / Göteborg
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NTRODUCTION
Join us in our mission to secure Uptime for our customers!

THIS IS US, YOUR NEW COLLEAGUES
You will join the Technology & Service Development team (TSD). At TSD we manage the Advance Engineering Portfolio for aftermarket technologies, aiming at developing new technologies and services, preparing for the future. And most important is to develop the solutions that support our customers and their vehicles to stay on their mission, maximizing Uptime!
As a team we have skills and competences in many areas such as mechatronics, data analytics, AI, CAD/PLM, VR/AR, App development and more.

In the area of predictive maintenance, projects may focus everything from core technologies to integration in end2end solutions, covering anything between sensors and raw data to decision support and visualization.

To be successful in almost everything we do, it require us to work in a cross functional environment building solutions together with people and teams in different parts of the organization.
As a team we work, support each other and grow together.

ROLE DESCRIPTION
Your role and main task is to complement our team with knowledge and knowhow within predictive maintenance in the heavy duty industry or automotive domain. To bring in and contribute with a holistic view on predictive maintenance, helping us to improve our end to end solutions.

You need to be active to grow your network, engage with stakeholders and key players in a cross functional global environment. Together with your colleagues you will have a leading role in defining strategies and targets. Based on this you will engage and contribute in activities and with joint efforts make us reach our goals. For some projects you will take the overall leadership.
One specific task will be to engage with and strengthen our data analytic competences, adding predictive maintenance expertise from the automotive domain. You will also supporting other roles in developing product and system requirements.

CURIOUS, AND HAVE SOME QUESTIONS? CONTACT US!
Mikael Andersson, +46 31 3223853

WHO ARE YOU?
We want you to have fun at work! To have that we think you have a "can do" attitude and show curiosity in what you do. You are a team player, meaning you want to grow as an individual and as a team. You have strong social skills and like getting involved in new situations and with new people. And you approach challenges with a creative and proactive mind set.
You have as a minimum a master's degree in e.g. Automation, Computer Science, Statistics, Mathematics, Engineering or equivalent and you have probably worked at least 4 years with predictive maintenance in the automotive/heavy duty industry domain.
In your previous roles you have acquired strong skills and experiences from e.g. sensor development and mechatronics but also in data analytics. And in some areas worked with cutting edge technologies.
You have also been a key contributor to set targets and build strategies within predictive maintenance.
You are good at structuring your work and tasks but have also experience and capacity from managing smaller project teams to common goals.

The Volvo Group is one of the world's leading manufacturers of trucks, buses, construction equipment and marine and industrial engines under the leading brands Volvo, Renault Trucks, Mack, UD Trucks, Eicher, SDLG, Terex Trucks, Prevost, Nova Bus, UD Bus and Volvo Penta.
Volvo Group Trucks Technology provides Volvo Group Trucks and Business Area's with state-of-the-art research, cutting-edge engineering, product planning and purchasing services, as well as aftermarket product support. With Volvo Group Trucks Technology you will be part of a global and diverse team of highly skilled professionals who work with passion, trust each other and embrace change to stay ahead. We make our customers win.

Publiceringsdatum
2019-04-09

Så ansöker du
Sista dag att ansöka är 2019-05-04
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Företag
Volvo Group

Adress
Volvo Group

40508 Göteborg

Kontorsadress


Jobbnummer
4720797

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