Long-Lived Institutional Systems
Architecture and analysis support for environments where identity, governance, auditability, stakeholder coordination, and traceable continuity all matter.
Professional profile
Enterprise architecture and analysis for systems that need to preserve identity through transformation.
More than 25 years in IT, business analysis, enterprise architecture, and delivery, now focused on institutional systems, transformation, requirements traceability, governance, legacy recovery, and responsible AI-supported analysis.
Experience profile
Capability profile across architecture, analysis, governance, delivery, and institutional change.
- 25+ years in IT, enterprise transformation, consulting delivery, and complex systems work.
- 20+ years across business analysis, requirements engineering, IT service management, and process improvement.
- 17+ years applying business and enterprise architecture to bridge strategy, operating models, data, and implementation.
- 15+ years in project, product, delivery, and practice leadership with distributed stakeholders and multidisciplinary teams.
- Recent focus on regulated institutional systems, statistical and data domains, requirements traceability, transformation, and legacy system readability.
- Professional practice as one public expression of the research field: identity persistence, continuity, traceability, meaning preservation, and responsible AI-supported sensemaking.
Career throughline
Preserving identity, intent, and decision context as systems evolve.
Across operations, consulting, business analysis, architecture, data platforms, and institutional systems, the recurring work has been the same: helping systems preserve identity, intent, and decision context through transformation.
The work began close to operations: support, service quality, internal systems, and the practical realities of keeping business-critical technology understandable for the people who depend on it.
From there, the focus moved into business analysis, requirements engineering, process improvement, and consulting delivery. The recurring problem was not only building systems, but preserving the logic, meaning, and evidence needed to change them responsibly.
As responsibilities expanded, architecture became the natural center of the work: enabling traceability across strategy, operating models, governance, data, delivery, and long-term maintainability.
Recent work extends this foundation into European institutional, statistical, patent, and regulated-system contexts, where traceability, semantic consistency, and evidence-based change matter as much as implementation.
Professional practice is one expression of the same underlying concern: helping systems, requirements, decisions, data, and institutional memory remain understandable through transformation.
Recent focus
Where the work supports identity through transformation.
A practical view of current capability areas: long-lived systems, data domains, legacy recovery, model-driven analysis, requirements governance, and AI-supported traceability.
Statistical and Data Domains
Work across statistical, analytical, and data-source landscapes where definitions, lineage, quality, and domain meaning must stay explicit.
Legacy and Knowledge Recovery
Recovery of undocumented business logic, data flows, system dependencies, SQL scripts, reports, and operational behavior.
Model-Driven Analysis
Use of ARIS, BPMN, UML, capability views, entity models, interaction models, and state models to make complex systems easier to understand and govern.
Requirements Governance
Requirements templates, Jira and Confluence practices, UAT support, RTM automation, and evidence-oriented delivery structures.
AI-Supported Traceability
Responsible AI use cases for requirement drafting, semantic linking, knowledge reuse, impact analysis, and human-in-the-loop review.
Credentials and methods
Practical signals behind the architecture and analysis work.
Location and Authorization
- Luxembourg based
- EU long-term residence permit
- Open to relocation
Languages
- English C1
- Russian native
- Luxembourgish A2.1
- German A1
Methods
- TOGAF and ArchiMate applied
- BABOK-aligned business analysis
- ITIL
- Agile, Scrum, and Kanban
AI and Data Credentials
- NIST AI RMF Masterclass
- AI Business Leadership
- SAS Viya basics
- Data storytelling and visualization
Research behind the work
Professional practice is one public expression of the same underlying work.
This public profile shows the professional practice side: architecture, analysis, governance, delivery evidence, and institutional continuity. The related research field and method are available for visitors who want to go deeper.
Independent assessment
Strengths highlighted in an external talent assessment.
Decision Making
Proficiency in making high-quality decisions in complex delivery and consulting contexts.
Innovation
Strong ability to generate creative approaches and improve business and technology processes.
Leadership
Experience building teams, practices, and operating structures for large-scale technology delivery.
Skills
Hard and soft skills overview.
Key hard skills
- Enterprise and business architecture
- Business analysis and requirements engineering
- Requirements traceability and RTM
- IT service management and governance
- Data, BI, and statistical platform analysis
- Legacy system and data-flow reverse engineering
- Knowledge recovery and institutional memory
- AI-supported analysis and knowledge reuse
Key soft skills
- Facilitation and workshop leadership
- Stakeholder alignment across business and IT
- Structured decision making
- Leadership and mentoring
- Clear executive communication
- Calm orientation in ambiguous environments