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GRUNDFOS is seeking a Lead PLM Data Architect to shape the data architecture across the full product lifecycle, from engineering to service and sustainability. You will translate business needs into governed information structures, define PLM data products and metadata, and ensure coherent, interoperable product information across PLM and enterprise systems.
This role expects 7–10+ years in PLM, data architecture, and enterprise data, with a master’s degree and strong collaboration across
Are you passionate about shaping how product data connects engineering, manufacturing, service, commercialization and sustainability? Join us as we strengthen the data foundation behind our Product Lifecycle Management landscape and create trusted, governed and reusable product information that can support digital transformation, analytics and AI.
As our new Lead PLM Data Architect, you will shape and evolve the data architecture for PLM across the full product lifecycle. You will connect business meaning and governance with logical information models, data products, Systems of Record and their implementation across our PLM and enterprise system landscape.
You will play a leading role in turning product data into a strategic business asset and ensuring that our PLM data landscape becomes more coherent, governed, interoperable and ready for future digital capabilities.
In the Global PLM & Data Management team, you will provide architectural leadership for PLM-related data and information. You will work across business, data governance, PLM, IT and transformation initiatives to create a coherent connection between business needs, governed information and technical implementation.
Your main responsibilities include:
You are a systems thinker and data architecture leader who understands that successful PLM transformation depends not only on applications, but on having clear, governed and connected product information. You can move comfortably between business language, information models, data governance and technical architecture, and you are able to simplify complex data topics for stakeholders across functions.
We also imagine that you have: