SAP BW Experts in Munich

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.

• Led enterprise reporting modernization by migrating legacy SSRS reporting solutions to Power BI, supporting 500+ business users while ensuring full GDPR/DSGVO compliance.
• Designed and optimized Power BI and Microsoft Fabric semantic models using star schema, dimensional modeling, advanced DAX, and performance optimization techniques, reducing query latency by 25%.
• Delivered 20+ executive and operational dashboards featuring KPI scorecards, drill-through, bookmarks, and row-level security, improving reporting efficiency by 20%.
• Enabled self-service analytics through governed Power BI datasets, dataflows, and gateway architecture, increasing business-led reporting adoption by 35%.
• Configured an incremental refresh policy and query folding for a 50+ million row sales dataset, reducing daily report refresh times by 85%.
• Deployed automated ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, and Snowflake, reducing reporting delivery timelines by 40% through workflow automation.
• Spearheaded Microsoft Fabric analytics modernization initiatives including lakehouse architecture, OneLake integration, and centralized data platform development, reducing data latency from 2 hours to 20 minutes.
• Translated business requirements from 15+ stakeholders into scalable Power BI semantic models and dashboards, improving reporting consistency and reducing ad-hoc reporting requests by 25%.
• Applied Microsoft Copilot and generative AI tools to accelerate SQL development, DAX authoring, technical documentation, and testing activities, reducing development effort by approximately 15 hours per week.

• Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
• Implementation of automated end-to-end cloud processes
• Development of LLM and NLP models
• Creation of interactive reports
• Support for national and international large corporations as well as medium-sized companies in implementing ML projects

• Built and maintained Power BI dashboards (DAX, Power Query, data modeling) tracking KPIs across 15+ global manufacturing sites — primary reporting tool for EU leadership decision-making.
• Developed a multi-screen Power Apps application (configurator-style tool) with SharePoint-based workflow integration for the sales team — designed jointly with business stakeholders and IT.
• Built and maintained automated Power Automate workflows connecting to SQL databases; independently identified and deployed an LLM-driven automation use case that eliminated 90% of manual reporting effort — self-pitched to leadership and taken end-to-end into production.
• Built a Python-based data pipeline (SQL) extracting, modeling, and validating data across 10+ EU plants — establishing reliable data models and KPIs for cross-site reporting.

• Group-wide responsibility for developing new business models, strategic support of corporate start-ups and managing equity in start-ups
• Direct management of 3 employees
• Direct reporting line to executive management
• Business Development: designing and building an information platform on the global machine base and customer sales/margins in the aftersales area based on SAP data, supporting sales planning as part of the budget, advising project teams on profitability calculations
• Digital Ventures: defining terms, developing processes to generate and develop new business models, operational validation of new business models to expand the group's business areas, strategic support of project teams in implementing new business models, cooperation project with Munich University of Applied Sciences, steering and supporting equity investments in start-ups

As the Solution Architect for Agentic AI in auto claims processing, I led global customer delivery implementations, encompassing solution design and detailing, multi-tenancy, process flows, integration with third-party solutions, and localization requirements.

• Architectural Analysis: Conducted in-depth analysis of business requirements, managing requirements and creating detailed specifications.
• Service Definition: Developed comprehensive technical definitions for services and integration contracts.
• AI Process Management: Automated AI process management, focusing on analysis, optimization, and continuous improvement.
• Requirements Gathering: Facilitated requirement-gathering sessions and analyzed business processes to identify optimization opportunities.
• Agile Collaboration: Employed agile methodologies, working closely with stakeholders to ensure alignment and responsiveness.
• Technical Support: Assisted senior management with technical analyses and deliverability assessments.

• Performance optimization and centralization of reporting by creating data models using SSMS (SQL) & SSAS (DAX) and integrating data via SSIS
• Optimizing and extending the current PowerBI dataset (in parallel until the SSAS data model is ready)
• Expanding current reports (migrating reporting to SSAS source after building the SSAS data model)
• Conducting regression analyses, cohort analyses, price/quantity analyses, and strategy project success analyses
• Training internal team members

• Developed organization, task descriptions, processes and systems of the controlling system to improve activities.
• Harmonized ERP software within the group across IT procurement, plan data, controlling and reporting.
• Designed the basis for an agile and modern IT control system.
• Set up budget plans and supported master data and planning.
• Monitored and validated projects in the PM tool Sciforma, covering OPEX and CAPEX in line with legal requirements and group rules.
• Performed PMO assistance activities including meeting minutes, presentations and reports.
• Tools: SAP FI/CO, SAP MM, SAP PPM, PM-Tool Sciforma, MS Office 365.

• Responsible for tool-based project and portfolio management in the group
• Designing, enhancing and operating Jira- and Confluence-based workflows
• Translating management and business requirements into reliable tool concepts
• Integrating Jira into existing tool landscapes (e.g. Planview, ServiceNow, SAP BW)
• Establishing governance, reporting and KPI structures
• Rolling out new workflows including training & key user models
• Using AI features to support planning & analysis

• Led end-to-end Tableau development connected to SAP BW, building dynamic dashboards for Supply Chain Management (SCM) use cases.
• Translated supply chain strategy goals into actionable, data-driven dashboards supporting operational and strategic decision-making.
• Delivered insights that improved supply chain visibility, risk mitigation and inventory efficiency across key functions.

• Performed accounting services according to IFRS and HGB

• Overall process definition, planning, training, tools, effective execution, and progress and quality measurement of test activities at the release level
• Defining and improving the test process
• Scheduling of releases
• Coordinating alignment with release management for test setup and data provisioning
• Coordinating migration test planning for Westnetz, Mitnetz, and EON Grid
• Monitoring test progress, audit-proof documentation, progress tracking via defects, OSS reports, and incidents
• Designing and coordinating potential test automation

IT environment: Jira Zephyr, Confluence, SIGMA, PowerBI

• Transformation project to S/4HANA
• Test management and coordination of functional tests for SAP
• Preparation and support of tests (SIT 1+2, MOCK 1+2, UAT) as part of the SAP S/4HANA rollout (SD, MM, FI/CO, MD)
• Creation of test strategies, test plans, and test cases to ensure system quality
• Monitoring and compliance with service level agreements (SLAs) as well as ensuring the timely delivery of agreed performance indicators
• Coordination of the approach with test managers from other regions (US, JP)
• Planning of European test activities in the SAP implementation project in cooperation with test managers from the supplier
• Coordination of interdisciplinary business and technical test teams in Europe
• Business collaboration with global implementation partners
• Use of Tricentis qTest and ValGenesis as test management tools (for validation-relevant processes)
• Training functional consultants in testing and test tools
• Creation and evaluation of change requests, including effort estimation, prioritization, and tracking
• Reporting on test progress

• Creation of the profit center report and statistical metrics report
• Gathering and analysis of requirements regarding the forecast for revenue and costs
• Implementation of various time series analyses and optimization of forecasts
• SAP process knowledge, SQL, Python
• Python with various libraries for time series analysis and Machine Learning