Linde Material Handling is a leading global manufacturer of industrial trucks and a provider of services and solutions for intralogistics. With a sales and service network in more than 100 countries, Linde is represented in all major regions of the world. As part of the KION Group, we operate in a strong international brand network between Linde Material Handling, STILL and Baoli. Convince yourself of a cross brand activity with us! As Global Data Steward Product Data Model Sales & Service (m/f/d) KION ITS EMEA you will be part of an unbeatable, international team. Your future working day will be characterized by functionally supporting the S/4 HANA implementation project in the area of product sales variants configuration. Exciting challenges await you every day Aufgaben You will functionally support the S/4 HANA implementation project in the area of product sales variants configuration (in particular: data analysis, requirements gathering, transformation rules alignments, data validations and preparation for testing and production environment, data cleansing) Support in defining and implementing globally harmonized Product Data Model thoughout all Sales & Service locations Implementing and improving the processes related to Data Quality Management in the area of product sales variants configuration You will identify and coordinate data cleansing activities Collecting, developing, harmonizing, and aligning new requirements for product data model You will document data related processes, standards, and changes Contributing in data communities and future data related projects, as well as providing data support and expertise to data key users for data requests and issues Profil You have a degree in (technical) economics, e.g. in business informatics, industrial engineering or business administration or a similar practical experience in a related field; engineering industry experience is an advantage SAP system knowledge and practical experience, ideally R3 and S/4 HANA, especially with material variant configuration, material and material related data objects Understanding of data management principles and data governance, as well as practical experience in data management distinguishes your profile Strong affinity for data and understanding of the connections between business processes and data flows across multiple IT systems and applications Ability to understand, analyse, investigate and present complex data and process topics You have strong written and communication skills in English language Wir bieten Attractive compensation package: Compensation according to the collective agreement of IG Metall with special payments (Christmas/holiday pay, ...) as well as a company performance related annual bonus and an employer financed company pension scheme Diverse flexibility: Individual arrangement of your working hours and the opportunity for regular mobile working from home depending on the activity as well as a col