Microsoft Power BI Expert in Austria

• Initiation, planning, management and completion of several digitalization projects

• Requirements management including proposal preparation, business concepts & process analyses

• Stakeholder management (internal steering, external service providers, business units)

• Resource & capacity planning, controlling, budget responsibility

• Claim and change management (including escalation handling)

• Project marketing & knowledge management

• Quality assurance & risk management in line with PMO standards

• Implementation of a cloud-based solution in customer service (insurance)

• Harmonization & digitalization of approval and contract processes

• Reduction of processing times by >20 % through optimized workflows

• Establishment of standardized project controlling with BI dashboard

• Jira • Confluence • MS365 (Project, Teams, SharePoint) • ITIL • PRINCE2

• 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

• Organizational Change Management as part of a group-wide, supranational sales transformation, serving as the core of a broad restructuring of business-critical areas, with end-to-end control of the change process and long-term embedding and securing the future readiness of sales.
• Initiation and end-to-end steering of the sales transformation program, including in-depth analysis to identify, assess, and strategically involve all relevant stakeholders, making tactical use of their specific business interests and influence.
• Conducting advanced, detailed change impact analyses to predict the organizational effects of the transformation, deriving a tailored change strategy, and developing a change roadmap and a change story as the core narrative of the campaign.
• Designing and implementing an integrated communication and action plan to ensure maximum transparency, effectively manage unspoken expectations, and actively guide a change process that is clear and understandable for all stakeholders.
• Active management of all transformation phases, including the setup of robust monitoring mechanisms for continuous progress analysis and forecasting based on recommended and jointly defined KPIs.
• Establishing an agile analysis and adjustment cycle to continuously assess the effectiveness of implemented measures, identify challenges early, and fine-tune the change strategy in time.
• Conducting precise gap analyses to identify skill gaps in the sales team in the context of the new strategic direction, and deriving and developing targeted qualification measures (e.g. coaching, training).
• Comprehensive reduction of resistance to change by turning opposing stakeholder mindsets into proactive change-driving change ambassadors.
• Deep and sustainable realignment of sales structures and processes in full alignment with the company’s overall goals.
• Qualitative and quantitative improvement of sales efficiency and performance as a direct result of the implemented transformation initiatives and capability-building programs.

• Support for the introduction of new digital exchange and communication structures as part of an organization-wide transformation project
• Conception, setup, and operational management of Viva Engage communities within the intranet as part of the rollout of new digital exchange and communication formats
• Planning and support of the pilot phase and the initial operational phase, including feedback and optimization loops
• Onboarding and enablement of employees and leaders in the use of new digital exchange formats
• Development of change management and activation measures to drive participation and adoption
• Moderation of discussions and creation of guidelines, FAQs, and netiquette
• Editorial and content strategy, including leadership communication
• Adaptation and implementation of central concepts and communication guidelines to organization-specific requirements
• Monitoring, reporting, and derivation of optimization measures
• Coordination with IT, data protection, communications, and business units

• Extraction, transformation, and cleansing of data from Microsoft Dynamics AX
• Creation of sales reports in Power BI
• Training employees in business intelligence
• Technologies: Power BI, SQL, SQL Server Integration Services (SSIS)

• Accurate handling of customer transactions under time pressure, including cash and register processing with high care
• Reliable, consistent performance in a fast-paced, customer-focused environment; strengthened organization and multitasking skills

Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI

Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine

• Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
• Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
• Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
• Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
• Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
• Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
• Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).

Further development of the data analytics system landscape based on MS Power BI

• Concept and development of ETL processes, primary data source SAP IS/U incl. extraction via Theobald extractors to Azure Synapse, support with SAP S/4 conversion
• Support in the concept and development of data models in Azure Synapse Analytics
• Gathering and implementation of requirements in the data analytics area from internal business units
• Identification, documentation and analysis of existing as well as cross-functional processes
• Data definition, data modeling & preparation as well as source selection for merging data from differently structured data sources
• Design of reports and dashboards based on MS Power BI
• Transfer of reporting processes from existing structures to MS Power BI Premium (PPU)
• Hands-on development and implementation of analyses, reports and dashboards based on Microsoft Power BI
• Power Apps for write-back processes from Power BI Premium to Azure SQL DB
• Power BI support as part of the SAP S/4 conversion
• Cooperation with internal business units and external development partners
• Coaching/training, documentation, development processes

• Supporting and helping shape the setup and further development of a company-wide HUB system in the Fujitsu environment for integrating a wide range of data sources and applications in an international context
• Designing and implementing data modeling, ETL processes, reporting, and data quality management

• Leading high-impact retail digital transformation focused on data integration, app integration, and next-generation customer engagement strategies.

Commercial support for a property developer undergoing restructuring — financial management, transparency and reliable decision-making foundations. In parallel: AI mandates for an international cinema group (HR, energy technology) and an international construction group (consolidation, company valuation); additionally, auditing. Business consulting trade license (WKO).

• Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
• Takes over and stabilizes existing solutions after a short handover
• Business analysis and requirements engineering for migration to a new cloud environment
• Optimization of machine learning models for feature extraction and customer profiling
• Ensures data protection and compliance
• Leads the migration of on-prem systems to Microsoft Fabric
• Designs new AI platforms for clients
• Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication

• Study: Data Science & Intelligent Analytics
• Module: Big Data Processing