IREB Certified Professional for Requirements Engineering (CPRE)

• Setup of a scalable nearshore IT developer hub (Croatia, Czech Republic, Poland) as an independent company through a BOT model (Build – Operate – Transfer)
• Identification, selection, and management of full-service agencies; introduction of control and governance mechanisms including KPIs, SLAs, and regular service reviews
• Creation and review of data processing agreements and framework contracts in alignment with Legal & Compliance; integration of regulatory requirements (incl. KRITIS) into process design
• Consulting on cloud vs. on-premise strategies, data storage, and authorization concepts; support for procurement in vendor selection and provider assessments
• Change management and process harmonization between internal teams and nearshore partners; reporting to management, CFO, and CIO

Result: Scalable IT developer hub with an audit-proof governance model, reduced operating costs, and faster product development.

• Analysis of the Riester subsidy GeVos for provider change 2.0 in the AZUR subsidy management system
• Representation of the GeVos in BPMN 2.0 with Draw.io and Adonis
• Analysis of the data sets exchanged with the life insurance policy administration system and migration to the msg data sets
• Design and mapping of the interfaces to the new msg.ZulagenVerwaltung for various Riester subsidy GeVos at data field level

• Analysis, documentation, and alignment of requirements. Conducting stakeholder analyses, interviews, and workshops for requirements gathering and validation. Carrying out requirements reviews and working closely with business units and development teams.

Techniques & tools: requirements engineering, stakeholder management, workshop facilitation, system context modeling, requirements reviews, quality scenarios, Miro, Jira, Confluence

As a project coordinator in development projects (consisting of software and hardware), I was responsible in an advisory role for creating recommendations and organizational framework conditions in the areas of reporting, project scheduling, progress tracking, resource allocation, and results presentation.

• Technology stack: Teams, Azure DevOps, Android
• Keywords: software, hardware, AI, MDM, Kanban, requirements specification, functional specification, SaaS, ergonomics, health, medical device

• As part of the project, the further development of the identity management system was driven forward. This included a comprehensive refactoring of the interfaces to the connected target systems. In addition, several special systems were successfully connected to the IAM to ensure end-to-end identity and authorization management.
• Technical design and solution proposals for IAM system development
• Requirements analysis and requirements management (IREB, BABOK)
• Alignment of the strategy with the future target architecture (TOGAF)
• Prototyping of solutions
• Documentation of requirements (Innovator)
• Analysis and documentation of requirements and creation of process models (UML, BPMN, ArchiMate)
• Modeling of requirements and system functionalities (OOA/OOD, UML)
• Further development of interfaces (SOAP, REST)
• Carrying out architecture reviews

• PMO lead for Security Clearance 2 (SÜ2) cleared
• Reporting to sub-program management GMN
• System maintenance 25+
• Functional control and coordination of Jira setup
• Preparation of decision papers (e.g. project planning, steering model, communication plans, controlling models, role and responsibility matrices)
• Development of program-wide knowledge management using Confluence, creation of Jira concept
• Development of an access concept for all project tools
• Analyzing existing processes, identifying improvement potential, and designing solutions to increase efficiency and effectiveness
• Development of a concept for introducing automation approaches in existing tools
• Creating intranet articles as project marketing
• Responsible for project governance through reporting and resource planning in the sub-program
• Agile further development of the project method
• Gathering customer requirements (requirements engineering)
• Preparation and support of contract negotiations (7-year term, budget of over 500 million)

• Support in managing complex projects in agile, traditional, and hybrid environments
• Building and implementing governance structures to clarify roles, responsibilities, and decision paths
• Designing and facilitating workshops (e.g. kick-offs, retrospectives, lessons learned)
• Developing and introducing standardized processes and templates for project, portfolio, and change management
• Supporting companies in their development toward agile or autonomous structures
• Analyzing and improving collaboration between line organization, project management, and operations
• Introducing role profiles and competency models for new ways of working
• Developing guidelines for decision-making (e.g. based on corporate strategy, cost-effectiveness, customer focus)
• Facilitating conflict discussions and decision rounds between stakeholders
• Developing and applying guidelines for communication in change processes
• Supporting managers with feedback and review formats
• Visual preparation of complex topics for management decisions
• Developing use cases for AI-supported automations in project work
• Supporting the evaluation and introduction of digital tools to improve processes
• Operational responsibility for Citrix & AD/Access: ensuring stable IT operations, including incident handling, handovers, and quality assurance in day-to-day business
• Closing operational gaps by clearly defining responsibilities between BTC, BITS, and service providers
• Performing a structured gap analysis of existing service agreements, make-or-buy decisions, and role clarification with KPI anchoring
• Leading escalations with quick intervention in case of conflicting goals and unclear responsibilities

Digitizing real-world places with 3D/LiDAR scans to make spatial data usable for AI applications and to derive concrete use cases and prototypes from it.

• Digital capture of real-world places as a basis for faster planning and analysis
• Browser-based access to 3D data for easier use and coordination
• Turning spatial data into concrete use cases, prototypes, and AI training scenarios
• Planning basis for urban development and other digital future applications

Keywords: LiDAR, 3D scan, AI, use cases, AI training, prototyping, Python, web development, data models, architecture

Workflow-automation SaaS for operations teams (Berlin, 120 people); full-time freelance engagement reporting to the CEO: an initial 12-month interim mandate, extended twice through the AI build-out; owned product for one squad and coached the other product managers on process.

• Led generative AI (LLM) integration into the core product: from LLM-powered steps to natural-language workflow authoring and step-level automation suggestions, plus AI-managed dynamic workflows, shipped behind eval gates with human-in-the-loop fallbacks: AI-drafted workflows grew to 31% of all new workflows, and median time-to-first-workflow fell from 3 days to 4 hours.
• Packaged the AI capabilities as a usage-based add-on priced on executed automation steps, working with sales and marketing on positioning: ~€800K added ARR in the first year, and adopting accounts churned 1.8 pp less.
• Owned the roadmap end to end: replaced feature-request-driven quarterly planning with an outcome-based rolling roadmap built on quarterly bets and explicit kill criteria, presented monthly to the executive team and quarterly to the board.
• Rebuilt the product-management operating system: weekly customer-discovery cadence incl. workshop facilitation, RFC/decision-doc reviews and a single quarterly metrics narrative; coached four product managers, one promoted to senior during the engagement.
• Closed the engagement as scoped: hired and onboarded the permanent VP Product, handed over the process playbook and roadmap, and exited on schedule in June 2026.

• Project management for software projects in the brake control unit area with a focus on deadlines, costs, and quality.
• Planning, control, and reporting of project progress, risks, dependencies, and work packages.
• Planning and tracking of work packages using PTC Integrity.
• Organizing and moderating customer meetings as well as coordination with internal departments, external suppliers, and third parties.
• Creating and maintaining project documentation according to Automotive SPICE requirements as well as management reporting.

Independent practice | IT consulting & AI infrastructure

• Self-employed with a focus on agentic AI and IT transformation
• Design and operation of a self-hosted multi-agent AI infrastructure (20+ agents)
• Consulting on digital strategy and taking on interim leadership mandates for organizations in transition

Goal:

• Stabilize and realign a central software platform for digital office processes and restore solid product and delivery management.

Tasks & responsibility:

• Took over product and project management during a critical development phase
• Sharpened product vision, target picture, roadmap, and prioritized product capabilities
• Analyzed user needs, processes, system dependencies, and operational pain points
• Reorganized and prioritized backlog, releases, and work packages based on customer value and delivery risk
• Cross-functional leadership of engineering, product owners, scrum masters, architecture, business units, and operations
• Introduced reliable planning, decision-making, reporting, and escalation structures
• Moderated discovery, refinement, planning, and decision workshops
• Managed scope, risks, dependencies, and stakeholder expectations in a complex product environment

Result:

• Sharpened product vision and roadmap, stabilized delivery structures, and sustainably improved management and decision-making capabilities.

• Error analysis and fixes including performance optimization of the in-house developed platform API
• Change and incident management in day-to-day operations
• Responsible for compliance with security and compliance requirements
• Vendor management for software development and maintenance
• Planning and execution of migration of legacy services to a cloud native platform

Role in the project: project staff, implementation team

Used skills: requirements analysis, IT service and application management, IT operations, error analysis and performance optimization, software maintenance and lifecycle management

Project environment: Cloud Native Platform (Kubernetes, Crossplane, AWS, ArgoCD, Grafana)

• Analysis and structuring of complex service processes
• Development of customer journeys, user journeys, and service blueprints
• Moderation of workshops for requirements definition
• Derivation of an MVP with stakeholders
• Clear basis for decision-making
• Reduction of uncertainty in early project phases