10+ years Management Consulting5+ industriesDelivery-ready Backlogs
Digital Twins that leave the PoC stage.
I bring Digital Twin initiatives into real-world delivery — business-led, implementation-ready, including Data Space readiness (AAS).
Digital Twin since 2017Delivery-ready BacklogsJira / ConfluenceHannover Messe Speaker (2024 & 2026)Business ↔ IT TranslationSiemens Teamcenter5+ industriesProduct Lifecycle Management (PLM)PTC WindchillProduct Data Management8+ programs and projectsStibo Step SystemsProgram Delivery LeadAAS / Data-Space Readiness10+ years Management Consulting
Digital Twin since 2017Delivery-ready BacklogsJira / ConfluenceHannover Messe Speaker (2024 & 2026)Business ↔ IT TranslationSiemens Teamcenter5+ industriesProduct Lifecycle Management (PLM)PTC WindchillProduct Data Management8+ programs and projectsStibo Step SystemsProgram Delivery LeadAAS / Data-Space Readiness10+ years Management Consulting
Why Digital Twin programs stall
PoC trap
Demos exist, delivery doesn't. No backlog, ownership, or scaling path.
Data fragmentation
PLM, ERP, CRM, Service, IoT, and Excel are decoupled in data silos—teams work with inconsistent data states.
Lack of Business Focus
There is a lack of 1–2 driving use cases with measurable business outcomes.
What changes
- Faster value realization from twin investments
- Asset performance use cases that scale beyond PoC
- AI readiness via machine-readable data + semantics
- Data Space readiness through AAS
How I work
01
Kickstart
6–8 weeksUse case → delivery-ready backlog
02
Program Delivery Lead
6–12+ monthsGovernance → execution
03
AAS / Data Space Readiness
2–4 weeksMaturity → roadmap
Selected work
- New product archetype: concept → migration (~2,500 datasets) → go-live
- Lifecycle traceability concept across the product lifecycle
Speaking
- Digital Twin: From PoC to delivery
- Data Spaces & AAS: interoperability in practice
- AI readiness: semantics + traceability before hype