Enterprise Architecture Management
- Business architecture
- Capability mapping
- Knowledge management
Trust as usual
Architecture, traceability, and responsible AI for complex systems.
I work where systems stop remaining readable: enterprise architecture, requirements governance, institutional sensemaking, and AI-supported analysis for organizations where decisions, data, and delivery must stay coherent.
Core competencies
Technology leadership across architecture, delivery, and transformation.
Result-oriented T-shaped IT expert with experience connecting architecture, business analysis, data platforms, delivery structures, and product thinking in complex environments.
Requirements and Traceability
- Business analysis
- Requirements governance
- RTM and UAT support
- Model-driven documentation
Delivery and Product Leadership
- Delivery management
- Product thinking
- Stakeholder alignment
- Quality control and assurance
Data and Digital Transformation
- Statistical and data platforms
- Business process management
- IT service management
- AI-supported analysis
How I help
From fragmented complexity to traceable direction.
The work is not only to document systems, but to restore orientation so teams can reason, decide, and deliver with confidence.
Restore Readability
Make complex systems, operating logic, and change histories understandable again.
Build Traceability
Connect intent, requirements, decisions, architecture, delivery, testing, and evidence.
Reconstruct Legacy Logic
Recover undocumented processes, data flows, dependencies, scripts, and integration behavior.
Guide AI-Supported Analysis
Use AI to clarify options, reuse knowledge, and support human judgment without replacing it.
Modern focus
Keeping institutional systems understandable as they evolve.
The current focus combines architecture discipline with traceability, model-driven analysis, and responsible AI support for knowledge-heavy change.
Institutional Architecture
Architecture work for long-lived, regulated institutional systems where business intent, governance, data, and implementation must stay readable.
Requirements Traceability
Templates, semantic links, RTM practices, and test-oriented structure that connect decisions, requirements, models, and delivered change.
AI-Supported Analysis
Responsible human-in-the-loop use of AI for requirement authoring, knowledge reuse, semantic mapping, scenario refinement, and synthesis.
Data and Statistical Platforms
Analysis and reengineering across heterogeneous data sources, statistical domains, reporting ecosystems, and complex analytical platforms.
25+ Years in IT
20+ Years in BA and ITSM
17+ Years in architecture
15+ Years in delivery and product
About the work
Experience at the intersection of consulting, architecture, and institutional change.
Work across business architecture, data and BI, service management, product delivery, and the governance practices that keep complex systems coherent over time.