As a Product Lifecycle Management (PLM) Data Professional, you will work within our global Engineering Standards team for Large Gas Turbines. With a continuous focus on business needs and business value you will work with a range of individuals and cross-organizational projects to ensure and improve data quality and (re)usability of our large amounts of technical product related data (CAD, parts and BOMs, documents, test data, simulation data, etc.). Topics range from providing ad hoc user support on individual data objects and issues to responsibility for large scale analysis, cleansing, enrichment and transformation of data as part of major re-platforming of SAP and Teamcenter systems and related migration and digitalization activities.
How You’ll Make an Impact
Ensuring we choose the best PLM data tools, solutions and ways of working to design our complex large gas turbine product and create product defining data ready for use throughout the product lifecycleGaining quick wins for the business by setting up data dashboards and smaller data related apps yourself working in small, agile teamsOwnership for data and data quality as a member of a cross-organizational data governance community to ensure enterprise level data standards in support of reusability of the data along the end-to-end digital threadImproving our data and data landscape: you are a key player to enable and drive the digital transformation of our business. This includes where applicable the use of artificial intelligence in PLM data contextInterface between Engineering users towards IT departments taking care of maintaining our PLM architecture and backbone systems: you are key to translating business needs into realistic IT requirements
Work Experience
Bachelor's degree (Master's degree preferred) in mechanical engineering, Computer Science or similar fieldLongstanding years professional experience in relevant topicsPower industry experience preferredSolid experience with Product Lifecycle Management systems (ex. Teamcenter), CAD systems like NX, ERP tools like SAP and related data including data classificationExperience with automation, programming or low-code apps for data analysis, manipulation and visualization, e.g. Python, Snowflake, Power BI, Mosaic, AlteryxVery good communication skills in English and knowledge of the German language would be a plusApplicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization.