Data Governance Expert (f/m/d)

at  Plansee Group

100.000 Produkte und Werkzeuge aus den starken Metallen Wolfram und Molybdän: das ist seit über 100 Jahren unsere Mission und unsere Leidenschaft, die 11.000 Mitarbeiter:innen aller Welt teilen.
Wir von der Plansee Group haben noch viel vor – und werden mit Ihnen noch besser! Werden Sie Teil unseres Teams!

Your tasks:

• Create and enforce policies for effective data management
• Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data
• Devise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspects
• Define data objects and attributes, data definitions, and RASIC matrix for data creation, access, change, sources of truth
• Monitor and analyse information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.)

Your profile:

• Degree in computer science, applied mathematics, engineering (STEM)
• Proven experience in data management
• Excellent understanding of data administration and management functions (collection, analysis, distribution etc.)
• Familiarity with modern database and information system technologies
• Excellent communication and collaboration skills
• Excellent command of English for both written and verbal communication. Good command of German/French would be an asset

Strong advantages:

• Attractive work conditions (insurance, company restaurant, flexible working time, free parking…)
• Responsible work, a dynamic team and an excellent working atmosphere
• A thrilling job in an internationally active company
• Intensive initial training and ongoing development fostering internal mobility

Laura Ott | Team Lead Talent Acquisition Western and Eastern Europe | +352 (31) 2085289 | LUX.Plansee Group Functions Luxembourg S.A

• Create and enforce policies for effective data management
• Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data
• Devise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspects
• Define data objects and attributes, data definitions, and RASIC matrix for data creation, access, change, sources of truth
• Monitor and analyse information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.