Lead PLM Data Architect

Grundfos; Denmark; On-site; DKK 900,000 - 1,100,000; Full time

Job summary

Grundfos is seeking a Lead PLM Data Architect to shape and evolve the data architecture across the full product lifecycle. You will connect governance with information models, data products and System of Record implementations within our PLM and enterprise landscape.

You will drive coherent, governed product information, enabling digital transformation and analytics. A master's degree and 7+ years in PLM/data architecture are expected, with hands-on experience in data modelling and 3DEXPERIENCE.

Qualifications

• Master's degree in engineering, computer science, information systems, data management or equivalent.
• 7–10+ years in PLM, product data management, data/information architecture, enterprise data or digital transformation.
• Strong experience with product data models, information architecture, metadata and semantic modelling.
• Proven ability to translate business concepts into logical information models and implementable data architecture.
• Experience with data products, data ownership, stewardship and data quality.

Responsibilities

• Own and evolve the PLM data architecture across lifecycle.
• Translate business needs into governed information structures.
• Shape PLM information models and semantics.
• Define and architect PLM data products as reusable assets with ownership and quality expectations.
• Establish relationships between data ownership, information models and Systems of Record.

Skills

PLM architecture

Data modelling

Metadata

Data governance

Systems thinking

Enterprise data

Education

Master's degree in engineering / computer science / information systems

Tools

3DEXPERIENCE

Job description

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.

What you will be doing

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:

• Own and evolve the PLM data architecture, ensuring alignment between PLM strategy, enterprise data principles, business capabilities and the broader enterprise IT landscape.
• Translate business needs into governed information structures, connecting business terminology, logical information models, data products and physical system implementation.
• Shape PLM information models and semantics, including product structures, classifications, attributes, relationships, metadata and lifecycle information.
• Define and architect PLM data products as reusable and trusted business assets with clear definitions, ownership, stewardship, quality expectations, lifecycle states and authoritative sources.
• Establish clear architectural relationships between data ownership, information models and Systems of Record, supporting consistent implementation of governed product information.

What makes you a great fit

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:

• A master's degree in engineering, computer science, information systems, data management or similar, or equivalent experience
• 7-10+ years of experience within PLM, product data management, data/information architecture, enterprise data or digital transformation
• Strong experience with product data models, information architecture, metadata and semantic modelling
• Proven ability to translate business concepts and requirements into logical information models and implementable data architecture
• Experience defining or working with data products, data ownership, stewardship and data quality

It is a plus if you have:

• Experience with PLM platforms such as 3DEXPERIENCE or similar enterprise PLM solutions
• Knowledge of Data Mesh principles and modern enterprise data platforms
• Experience with ontologies, semantic models, knowledge graphs or similar approaches to creating machine-understandable product information

Grundfos is one of the world's leading water technology companies with more than 19.000 employees in 60+ countries all over the world. Our skills commit us to pioneering solutions to the world's water and climate challenges and improve the quality of life for people. We dare to do things that others cannot or dare not do, as we believe innovation is not only a business opportunity, but an obligation. And what really matters to us is not short term profit, but the impact we make. By becoming part of our united powerful team, you too can drive this change no matter your role.

An inclusive team

We believe that the key to a work environment, where employees thrive and grow, is our ability to celebrate and value our differences in background, experiences and perspectives. In our recruitment process we welcome all professional people without consideration of age, colour, gender identity, national origin, physical or mental disability, ethnicity or religion.