BPMN Experts in Vienna

• Consulting and interim management at the interface between IT operations and regulation
• Impact analysis and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
• Training for governing bodies and employees on regulatory obligations
• Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
• Supervision of master’s theses and participation in the examination board
• Presentations for business and educational institutions
• Design and development of data and AI products, platforms and pipelines
• Privacy-first architectures and zero-knowledge encryption, cloud-native on EU infrastructure
• MLOps and AIOps in live operations
• Own applications under own brand: shared codebase, separate delivery for each target device
• AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
• Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
• Publications on data sovereignty, cloud economics and industrial image processing
• AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics

• Scope development and project planning
• Stakeholder management
• Process analysis and adaptation
• Development of reporting structures
• Establishment of joint communication structures
• Training concept
• Order processing and cost tracking

• BSS system implementation for B2B / transformation of the central B2B system landscape
• End-to-end business responsibility for defining, structuring and prioritizing key B2B business processes as part of a complex BSS transformation.
• Work in an agile, SAFe-like setup with multiple teams involved, along with regular coordination with business, IT, solution design and architecture.
• Translation of business requirements into implementable epics, features, user stories, process models and acceptance criteria as the basis for technical implementation.
• Close collaboration with solution design and architecture to assess technical dependencies, interfaces, data flows and system impacts.
• Management of target process design as the basis for implementation in Infonova BSS.
• Interface management between business departments, IT, architecture, development and operational units, including facilitation of cross-functional workshops.
• Ensuring process consistency, governance, decision-making capability and business acceptance as part of the system implementation.

Project goal: Introduce OpenShift as the run-time platform and migrate all applications to OpenShift.

My contribution: Make sure logging and monitoring for the applications were in place. Set up and put into operation the OpenShift components for logging and monitoring (Elasticsearch, Prometheus, and Grafana). Develop and implement the security concept for OpenShift. Work with developers to define and carry out the application changes needed for the OpenShift migration. Integrate monitoring into the applications.

Technical environment: Java, WebSphere Liberty, OpenShift components, Elasticsearch (ELK stack), Prometheus, Grafana.

• Challenge: poor project results and team performance, very poor work environment
• Solution: introduction of agile planning processes, teaching agile principles within the SAFe framework
• Innovation: consistent use of agile methods; introduction of requirements engineering, story writing
• Leadership: interface with the board, program management Opel Europe, GM USA and international markets
• Result: most productive team in the ART; increased planning accuracy to over 85%
• Team size: 10

• Conducting a feasibility study on introducing an in-house DWH as a central data source
• Conducting workshops for current state analysis (processes, reports, KPIs) together with the clients
• Gathering and detailing business requirements including a target concept for an in-house DWH
• Coordinating and clarifying data deliveries and interfaces in meetings with stakeholders and data providers
• Developing initial data models as a basis for data quality and later implementation
• Drafting solution variants including architecture and operation options and decision basis
• Creating the business case including effort estimates, cost-benefit analysis, and decision report

• Business analysis
• Requirements engineering
• System design
• Various insurance projects
• Technology stack: msg.Billing (in-/ex-collection)
• Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI

• Leading workshops for requirements definition, creating detailed requirement documents for the tender
• Conducting a gap analysis between existing processes and necessary process adjustments due to the new EU guidelines, documenting the results
• Supporting the implementation, coordinating between internal project teams and external partners

• Analysis, design and implementation of acceptance tests
• Test execution and reporting
• Defect reporting and retesting
• Tools: Xray, Jira, Confluence, OpenText Content Server, Scrum