Microsoft Office Experts in Germany

Reporting and controlling with Power BI for a productive ERP system

• Analysis of ERP data and interfaces for use in Power BI dashboards
• Evaluation and migration of existing reports (e.g. Excel) to Power BI
• Development of an access rights concept for selective data access
• Documentation and training on how to use and adapt the Power BI dashboards

Label: Power BI, Excel, SelectLine ERP, Microsoft SQL, SQL Server Management Studio

Creation of concepts for M365 implementation, especially Tenants, EntraID, EntraConnect and ExchangeOnline, taking BAS standards into account (mandatory baseline security requirements) in the project "Concept M365" with the aim of transferring the concepts to the M365 environments of Bitmarck and then handing them over to the customer.

• Creation of a current-state analysis of the existing M365 environments as well as the on-premises environments and the BAS standards.
• Creation of concepts for the topics Tenants, EntraID, EntraConnect and ExchangeOnline taking the BAS standards into account
• Design and implementation of an automated solution for creating standardized M365 tenants based on Microsoft M365 DSC (Desired State Configuration)
• Transfer of the concepts into the M365 environments
• Creation of detailed technical documentation

• 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

• Proactive support of management in business field development & innovation management

• New development of a suite of business applications for analyzing valuation, P&L, and market price risk data

• Automation of all internal and external business and work processes

• Development of AI-based and AI-supported ETL processes as well as data analysis

• Business use-case development

• Business and work process optimization

• Enterprise architecture management

• Sales data analysis and forecasting as well as capture

• Inventory management & reordering

• Supplier management and communication

• Customs processing & clearance

• Shipping handling & warehouse coordination

• Interface management

• Technologies used: Microsoft Office 365, Microsoft Teams, JTL-Wawi, JTL-WMS, OTTO Partner Connect (OPC), Amazon Seller Central, DHL Global Forwarding, Jira, Draw.IO, Java (8,17,21,25), Jenkins, SonarQube, Git, Gitea, Spring Boot, Spring Batch, Vaadin, H2, PostgreSQL, Docker, Local LLMs, Postman, JasperSoft Studio, JasperReports

Due to the steady growth of the customer organization and the associated increase in the number of projects in a wide range of areas, including IT/digitalization, sales and organizational development, and controlling, the demands on the projects are increasing. Projects are often started but not implemented within the planned time frame, resources are not clearly assigned, and the business value is not clearly demonstrated. The goal of the assignment as Interim Head of PMO is to further develop and embed an existing project organization from the CDO area at management level. It is important that the governance is pragmatic, easy to understand, and simple to apply in daily project work. The tasks and roles are to be defined, embedded in the organization, and this strategic PMO is also to be supported by an IT solution. This solution is to be selected and introduced. In addition, all ongoing projects are to be gradually transferred into PMO governance and project control is to be centralized.

• 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)

• Setup & structure: Complete rebuild and structuring of the HR department in a dynamic startup environment
• People management: Taking full responsibility for operational and strategic HR
• Culture & team: Active further development of the company culture during the transformation phase

• Successful integration of new business areas
• Support for change management projects
• Introduction of lean management and digitalization initiatives
• Management of external partners, interim managers, and consultants
• Successful implementation of growth and transformation strategies
• Plant expansion
• Plant relocation

• Led the hardware development and validation of a safety-critical 400 V battery management system (BMS) for the TOGG SUV program; performed system architecture reviews, schematic validations, EMC and reliability tests, and root cause analyses in line with relevant automotive standards (ECE-R10, CISPR25, ISO-26262). Coordinated cross-border EU engineering teams, customer reviews, and technical documentation to deliver a production-ready, validated system.

• Architected and integrated 22 state-of-the-art ADAS validation vehicles for BMW ADCAM and LIDAR programs at Magna Electronics; synchronized up to 26 heterogeneous sensors (LIDAR, RADAR, cameras, GNSS/INS) using PTP-based timing architectures. Defined the system architecture, HW/SW interfaces for hardware-in-the-loop (HIL) reprocessing, sensor integration strategies, and data acquisition frameworks. This enabled scalable vehicle-level validation, improved validation efficiency by 25%, and reduced project costs by €1.45 million.

• End-to-end validation and integration of automotive radar platforms for a Daimler project at Continental. Developed automated open-loop hardware-in-the-loop (HIL) environments to accurately test target tracking KPIs, field of view limits, and thermal and voltage-related ECU state machines. Used a highly complex toolchain consisting of CANoe, Lauterbach Trace32, RADAR target simulators, and EMC shielding chambers for RF and system validation. Synchronized global, interdisciplinary teams to speed up troubleshooting and close critical technical gaps.

• Reconstructed and validated the product architecture of an electromechanical e-bike by integrating and troubleshooting critical subsystems (BMS, motor control, sensors, HMI, electronic locking systems). Built a comprehensive system-level test bench for functional testing, fault reproduction, and performance analysis; coordinated suppliers and implemented corrective actions to improve reliability and traceability.

• Defined the system architecture and validation strategy for a LIDAR platform developed in cooperation with Elmos Semiconductor; evaluated optical measurement concepts, SPAD detector integration, and system requirements, and created technical recommendations for product development and verification.

• Developed LabVIEW-based automation and verification software for a high-precision hydraulic and electromechanical test system for FTE Automotive; integrated NI DAQ hardware for high-frequency real-time capture of physical measurement data. Developed automated test sequences, programmable endurance tests, troubleshooting routines, data logging, and analysis tools to improve test efficiency and traceability.

• Successfully managed complete engineering life cycles for well-known industrial customers (Magna, Continental, Farasis, FTE Automotive, BMW, Daimler, TOGG) – from requirements engineering and proof of concept through system integration and validation to technical documentation, supplier coordination, and user training.

Planning, execution & moderation of crisis communication and reputation management

AQIM is a non-profit organization based in Austria. An association of interim managers from Germany and Austria. Founded in December 2024. Multi-part training with workshops and consulting for preventive crisis communication, in cooperation with the founding members and those responsible for communication. To assess crisis potential for the market entry strategy and ahead of a digital campaign.

The project in a nutshell:

Consulting and training for the purpose of:

• Analysis of crisis potential as a new market entrant and its internet-based communication activities
• Planning and developing crisis communication with targeted measures
• Developing a crisis plan to minimize reputation risks in an emergency
• Conducting training and information sessions

Success:

• What started as a one-time consulting event for preparing an information campaign became a multi-part workshop on preventive crisis communication. This not only gave the organization expertise and confidence in the event of acute challenges, but also gave the participating interim managers new skills for their day-to-day work on assignments
• The workshop enabled those responsible to launch the information campaign that was being prepared at the time and planned for six months, as scheduled at the end of January 2026 on social media
• Careful scheduling and defining how to handle critical voices in terms of terminology and tone, as well as compliance rules, ensured a smooth start and run of a 3-month information campaign

Lead Business Analyst – Analysis and optimization of private banking processes

• Responsibility for the business analysis and further development of business processes in private banking, with a focus on CRM, customer data management, and master data processes

• Carrying out a comprehensive business process analysis to identify optimization potential, business gaps, and improvement opportunities along the customer lifecycle

• Gathering, analyzing, and structuring business requirements in close cooperation with business units, management, IT architecture, and development teams

• Creating and aligning business concepts, process models, user stories, and requirement documentation as the basis for technical implementation

• Analyzing and optimizing existing master data processes with a focus on data quality, responsibilities, and efficient data maintenance

• Designing and further developing CRM customer data processes while taking regulatory requirements and business goals into account

• Planning and moderating workshops with business, IT, and stakeholders for requirements analysis, process design, and solution finding

• Managing requirements and ensuring consistent communication between business and IT

• Using AI-supported analysis tools to help with requirements analysis, structuring information, and improving documentation quality

AI telephone assistant platform

Claude Code, Google AI Studio, Python, LLM / Voice-AI, PostgreSQL

• Conception and hands-on development of an AI-supported telephone assistant platform (voice AI / LLM) – from idea and architecture to MVP/product.
• Built agentic workflows and full automations with Claude Code and Google AI Studio.
• Also delivered AI-supported work in client engagements: used Claude Code for governance documentation, requirement drafts, and automations.

• Rework demand, development and operational organizational set up for the Solution Train
• Rework requirement refinement process flow from strategic theme to user story
• Introduction of visualization tools (Canvas) of work dependencies over different requirement levels and Solution Train leadership coaching

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