Product Information
01Data models, attributes, taxonomies, hierarchies, naming conventions, ownership and information quality.
Product Information & Agentic ArchitectProduct Data · Documentation · Agentic Architecture
I govern the complexityof product data.From technical documentation to agentic architectures.
For 17 years I have been validating, structuring and governing complex industrial information: from PIM data modelling and multilingual catalogues to structured technical documentation.
Today I extend that expertise by designing automation architectures and deterministic AI agents able to interact directly with real enterprise information flows: product data, documentation, PIM, ERP and operational processes.
PIMProduct DataTechnical DocumentationSAP / ERPCMSTaxonomiesPythonAgentic ArchitectureAPI / JSON / XML
Experience17 years
Currentlyvoestalpine Böhler Welding
17 yearsacross product information, technical documentation and information processes
30+ projectsin PIM and structured product information for industrial companies
27 languagesmanaged across international technical documentation
Thousandsof pages of manuals, catalogues, price lists and multilingual product documentation
What I do
The document is only the visible part.
Before a manual, catalogue or product sheet exists, there is a system of data, relationships, rules, responsibilities and tools.
That is where I work: where technical knowledge must become understandable and usable by Marketing, Sales, Service, translators, digital systems and customers.
R&D / Engineeringspecifications, variants, requirements
SAP / ERPitems, BOMs, codes, prices
Product Managementportfolio, offering, positioning
Where I workPRODUCT
INFORMATION
INFORMATION
PIM / CMSstructure, governance, publishing
Documentationmanuals, catalogues, price lists
Service & Digitalspare parts, service, web and channels
Skills
Four domains.One information system.
My profile sits at the intersection of disciplines that are often managed separately inside organisations. This is also where enterprise AI becomes useful only when data, context and rules are already governable.
Explore all skillsTechnical Documentation
02Manuals, spare parts documentation, catalogues, price lists and technical content designed for modularity, translation and reuse.
Processes & Systems
03Workflows and integrations across Engineering, Marketing, IT, ERP, PIM, CMS, Service and publishing channels.
Automation & Agentic Architectures
04Automation pipelines, deterministic scripts, multi-session AI agent orchestration and integration between enterprise data, PIM, ERP and language models.
Professional experience
Today I manage this complexity from the inside.Before that, I observed it across many different companies.
2019 — presentProduct Documentation Specialist
voestalpine Böhler Welding
Arc Technology
I work with the full lifecycle of product information: portfolio evolution, item data, catalogues, price lists, technical documentation, spare parts, translations and the processes that connect them.
- — catalogues and price lists connected to SAP data
- — naming, coding conventions and data ownership
- — technical documentation across 27 languages
- — multilingual catalogue and price-list localisation
- — modularisation and content reuse
2009 — 201910 years
EKR
PIM Integration Specialist / Consultant
I worked across different organisations, products and information systems, helping turn fragmented product data into structures that could be governed and reused.
- — requirements analysis and formalisation
- — product data modelling
- — taxonomies, glossaries and naming conventions
- — workflows, migrations and SAP / AS400 integrations
- — structured multilingual and multichannel publishing
How I think
“Enterprise AI agents and automation work reliably only when data, documentation and business rules are governed with method.”
Information, structure, relationships, rules, automation and reuse: the quality of an agent begins long before the prompt.