Data Quality Experts in Munich

• Development controlling systems:
• Validate various Business Cases
• Develop organization, task description, processes and systems of the controlling system to improve activities
• Harmonize ERP software within the Group (IT-Procurement – Plan data – controlling – reports)
• Budget Master data and Planning:
• Set-up phase oriented project planning
• Monitor and validate projects: OPEX and CAPEX due to laws and concern dependency rules
• Validate regulatoric calculations
• PMO assistance activities
• presentations and reports Tools: SAP 4/HANA; SAP ERP Central Component (SAP ECC): SAP FI/CO; SAP MM; SAP PPM; BOARD; TABLEAU; MS Office 365;

The program supports the comprehensive realignment of the German Consumer Panel Services business. It combines a significant panel boost with the reprocessing of historical data and the integration of new receipt data. By significantly expanding and stabilizing the panel with the involvement of external partners, the aim is to improve the validity of the data base and create a reliable foundation for methodology, weighting and customer reporting. At the same time, historically grown processes for data delivery, OCR, matching, item QC, methodology and reporting are being harmonized, further developed technologically and reorganized. The goal is a scalable end-to-end landscape with higher data quality, clear responsibilities, reliable governance and sustainably manageable operational processes.

• Overall management of the restatement program, including the integrated roadmap as well as milestones, dependencies, risks and management decisions.
• Coordination of the panel boost and alignment of the required data deliveries, quality requirements and prerequisites for methodology, weighting and reporting.
• Alignment of business, product, data science, technology, operations and external partners around a shared target picture, aligned priorities and an integrated approach.
• Design of the organizational change triggered by the fundamental realignment of the data base, methodology and management logic, which has a lasting impact on established decision-making and collaboration patterns.
• Establishment and further development of governance, reporting and escalation structures as well as program-wide monitoring and operational processes for reliable management and sustainable handover.
• Management of critical data, technology and provider dependencies, including reprocessing, OCR transition and the timely synchronization of delivery, testing, methodology and reporting.
• Orchestration of international collaboration with teams and stakeholders in Germany, the United Kingdom, Portugal and Romania, as well as with external suppliers in Germany and Austria.

Impact Areas and Expertise: Program & Delivery Leadership, Business & Technology Alignment, Organization & Transformation, Governance & Sustainable Operations, Strategy & Target, Methodic Leadership, Transformation & Change Leadership, Executive Advisory

• After several S/4 go-lives, Finance and IT lacked structure, clarity of roles and decisions; governance mechanisms, priority logic and responsibilities were not sufficiently defined.

• Unclear interfaces, high coordination effort and inconsistent ways of working led to organizational instability and limited leadership and management capability.

• The existing operating model between Finance, Controlling and IT was not functional, affecting transparency, collaboration and decision-making paths.

• Designed the transformation and organizational architecture for Finance and clarified roles, decision-making paths and priorities.

• Diagnosed and structured the Finance and IT organizations (DE/UK/PL), including collaboration, responsibilities and interfaces.

• Redesigned the Finance–IT Operating Model with a focus on governance, management routines and cross-functional collaboration.

• Enabled leaders and teams, especially Global Process Owners, Key Users and Finance Leads (systemic OD / Leadership).

• Managed the transformation portfolio, including clarity on risks, dependencies and cross-functional decision-making processes.

• Restored structural management capability by clearly defining and anchoring roles, decision-making paths and priorities throughout the organization.

• Systemically strengthened governance and cross-functional collaboration – Finance, Controlling and IT again worked in consistent, aligned structures; friction was measurably reduced.

• Harmonized working and communication processes, making coordination faster, more transparent and less conflict-prone.

• Established sustainable organizational capability, including by building a strong Key User / Process Owner community and clearly defined management routines.

• Made the transformation manageable in a structured way – prioritized initiatives, clear risk and progress logic as well as consistent decision-making formats increased execution speed.

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 a 16-person finance and accounting organization during a restructuring phase; strengthened closing discipline, financial control, cash transparency and accountability.
• Supported cost programs with approximately €2 Mio. in annual savings; established regular KPI reviews for P&L, working capital, POC and cash topics.
• Responsible for monthly, quarterly and annual closing under HGB/IFRS, management/group reporting, audit, tax and GoBD compliance.
• Finance automation with clear business benefits: 13-week liquidity planning, cash flow reporting, P&L versus plan, variance analysis and bank reconciliation; reduced manual work by 40–60 %.
• Improved accounts payable processes through OCR-supported invoice processing and three-way matching with exception handling.
• Sparring partner to management on restructuring, liquidity, working capital, risks and process simplification.

Topics:

• Further development of the CRM system NKAM and technical separation of “direct” and “indirect” sales
• Redesign of the discount management area and outsourcing to another system.
• Designing numerous improvements on the wholesale side to reduce manual effort down to the level of user stories.

• 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

• Defined the vision, strategy, and roadmap of AI-powered analytics products, ensuring they met the business needs of Sales, Marketing, Finance, and executive teams across Europe.
• Collected business requirements, prioritized AI product features, and led Agile development of forecasting and analytics solutions. Defined product specifications, user stories, and acceptance criteria to ensure successful delivery.
• Collaborated with business stakeholders, Product Owners, data scientists, ML engineers and software engineers to transform AI models into scalable business products and integrate AI insights into operational workflows.
• Designed and implemented Generative AI solutions leveraging Large Language Models (LLMs) to automate reporting and enable natural-language querying of enterprise data, reducing manual effort by approximately 30%.
• Defined product goals and success metrics, tracked product performance and user adoption, and continuously improved the product based on user feedback and business results.
• Established data governance, master data quality and reporting standards across SQL, BigQuery and Power BI environments to ensure reliable, secure and scalable analytics.

• Data Engineering: Design and implementation of scalable data pipelines
• Legacy migrations to Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines)
• BO Universe migrations to MS Fabric / Semantic Models / Power BI
• Taskforce for data-driven transformation projects involving Azure Fabric / Oracle / MSSQL

Teaching English at Munich Volkshochschule, developing training materials and delivering courses to adult learners

• It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
• GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
• Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
• CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
• Development of feature store and data synchronization between environments
• Data science: evaluation of different forecasting models, including CatBoost, Contextual Gamma and Random Forest; implementation of training pipelines using Kubeflow on Vertex AI; scaling and development of an event-driven interface using Kafka as a forecasting service; evaluation of MLFlow for model tracking and model registry
• Implementation of REST API using KeyCloak OAuth2 and OpenID (JWT)
• Monitoring: implementation of dashboards with Grafana, Prometheus, Mimir, Streamlit and Loki to monitor prediction metrics, GCP and Snowflake costs for pipelines, and system metrics
• Development of Copilot Agent Skills

DWH for customer and financial data

• Expansion of the DWH to include new data sources
• Report development
• Data quality management

Methodology: Scrum

Tools: Atlassian Confluence & Jira

Databases: Microsoft SQL Server

Programming languages: SQL, T-SQL

ETL: Microsoft SQL Server Integration Services (SSIS)

Frontend platform: PowerBI, Microsoft Reporting Services

• Responsible for the operational HR day-to-day business of 4 studios across Germany, with a focus on personnel administration and the employee lifecycle
• Preparation, review and management of all employment law documents (employment contracts, contract amendments, certificates, references)
• Preparation of payroll, especially for hourly wage models, including data preparation and coordination
• Maintenance and management of working time data in the system (Gfos) and ensuring data quality
• Proactive management and follow-up of HR-related deadlines (e.g. probationary periods, fixed-term contracts, performance reviews) in close coordination with studio managers
• Acting as the central contact and reminder for managers on all HR-related topics and processes
• Structuring and tracking HR matters and ensuring the completeness and compliance of all documents
• Preparation and maintenance of HR documents, analyses and overviews in Word and Excel

• Delivered backend systems, data processing solutions, and software integrations for enterprise business applications.
• Designed and implemented API-based services connecting internal platforms with external systems.
• Built automated processing workflows to handle large-scale structured business data.
• Improved application performance by 30–50% through database optimization, caching strategies, and backend refactoring.
• Reduced manual operational effort by 40–60% by automating repetitive workflows.
• Supported production environments through troubleshooting, monitoring improvements, and continuous optimization.
• Authored technical documentation and led knowledge-transfer sessions to support long-term maintainability.