Product information
Management of product data, portfolio changes, descriptions, prices, naming conventions, coding rules and information ownership.
Experience
17 years in product information:from traditional data structures to intelligent orchestration.
Ten years as a PIM consultant allowed me to observe how very different industrial companies organise product knowledge.
Today I work inside one of those environments and extend that view toward automation systems, AI agents and governable workflows on real enterprise data. The challenge is no longer only to design a system, but to keep it reliable while products, organisations, requirements and automation layers continue to change.
2019 — present
voestalpineBöhler Welding
Product Documentation Specialist
Today I work inside the technical organisation, where product information must remain coherent across engineering data, commercial documentation, manuals, translations and digital systems.
My work sits between product evolution and its representation. I collaborate with R&D, Product Management, Marketing and other functions to make sure that what changes in the product portfolio is correctly reflected in the information used across the organisation.
Commercial documentation
Catalogues and price lists connected to SAP, with multiple market configurations and multilingual publishing.
Technical documentation
User manuals, repair manuals, spare-parts information and structured multilingual content designed for reuse.
Processes & governance
Definition of responsibilities, workflows and rules connecting Engineering, Product Management, Marketing, Service and information systems.
Data automation
Automation logic connected to product information, documentation flows and enterprise systems.
27documentation languages
8catalogue / price-list languages
SAPconnected product and commercial data
R&Ddirect technical collaboration
2009 — 2019
EKR
PIM Integration Specialist / Consultant
For ten years I worked as a consultant helping industrial companies move from document-centred workflows to structured product information.
The projects were different in industry and scale, but the core work was remarkably consistent: understand the product, extract the implicit information model, formalise it and make it reusable across documents, languages and systems.
Information analysis
Understanding existing documents, systems, product structures and business requirements before designing the information model.
Data architecture
Definition of taxonomies, hierarchies, attributes, glossaries, naming conventions and semantic product structures.
System integration
Projects involving PIM, CMS, SAP, AS400, databases and structured publishing environments.
Publishing
Transformation of structured information into catalogues, price lists, technical manuals, product sheets and web content.
Localisation
Modular content, terminology management and translation-memory reuse for multilingual documentation.
Training
On-the-job training and knowledge transfer to Marketing, Technical Documentation, IT and other internal teams.
Context engineering
Structuring information, files and execution context so that automation and AI agents can operate on reliable sources.
Consulting gave me an unusual advantage: I saw the same information problems appear in completely different industries, products, organisational structures and software environments.
What I bring with me
Data, documents, systems and automationbecome useful when patterns are governed.
Working first across many organisations and then inside one complex industrial environment has shaped the way I approach product information, documentation and agentic automation today.
I can read the product behind the document.
Variants, configurations, relationships, codes, attributes and technical dependencies are often more important than the page itself.
I understand both data and publishing.
I can move from an information model to the final catalogue, manual or digital channel without treating them as separate worlds.
I work across departments.
Engineering, IT, Marketing, Product Management, Service and documentation teams often describe the same product differently. My role is to make those perspectives converge.
I connect data architecture and agentic architecture.
The same discipline needed to govern product information is what makes AI agents, sandbox execution and enterprise automation reliable.
17 years later
The tools have changed many times.The fundamental problem has not.
Product knowledge must remain coherent while products, people, markets, languages, systems and AI-enabled workflows continuously evolve.