SAP HANA Expert in Munich

• SAP S/4HANA upgrade from Release 2021 to 2025 and FI/CO transformation as part of a new TOM. Four streams and two SAP service providers; management during ongoing operations.

• Overall responsibility for time, quality and budget as well as cross-stream coordination of the four streams

• Coordination of process streams, business functions and SAP service providers

• Establishment and management of governance, planning, risks, dependencies, resources and escalations

• Provider management, regular management reporting, and preparation and execution of project and Steering Committee meetings

• Responsibility as Test Manager for test strategy, test planning, UAT, defect management and acceptance

• Result: Successful preparation for Go-live on 28.09.2026 during ongoing operations; quality and the planned absence of production interruptions ensured. Project governance established and positive feedback from management and stakeholders.

• 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;

• IT Sourcing & Carve-out: RFP management for IT client hardware and services as part of the Rheinmetall carve-out.
• Contract Management: Drafting of MSAs and SOWs taking into account AVB, BVB and LSA as well as Service Delivery Contracts.
• Vendor Transition: Strategic transition management to replace legacy contracts and establish new supplier relationships.
• SaaS Procurement: Negotiation of SaaS license agreements based on TCO and cost-effectiveness analyses.
• KPI: On-time transition of all 12 global group contracts, achieving 18 % cost savings on the IT hardware basket and 20 % cost avoidance for SaaS licenses – measured against the critical carve-out project plan and achieved through structured transition management.

• 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.

• 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.

• Clarification of project objectives, scope and the target business vision for building the AI-based knowledge database.
• Derivation of the initial architecture and implementation strategy for the Zasterbot chatbot, including separation of the MVP and further development stages.
• Development of a target business vision for building a structured knowledge database and integrating a future chatbot.
• Derivation and prioritization of use cases for information retrieval and provision by the chatbot.
• Modeling of data structures and flows for the effective organization of the knowledge database on the Base44 platform.
• Design and implementation of data models for storing and linking relevant information.
• Development of processes for extracting, analyzing and preparing raw data for the knowledge database.
• Ensuring data consistency and quality as the basis for the future chatbot.
• Planning the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) for precise and context-specific answers.
• Implementation of functions for analyzing and displaying data from the knowledge database.
• Use of the Base44 platform with JSON Schema-based entities and a flexible permission concept.
• Implementation of Deno functions for backend logic, event processing and connecting external APIs.
• Integration of OpenAI services for initial data analysis.

• Iterative test planning

• Provision of the test infrastructure

• Resource planning

• Test concept development

• Coordination of the test teams

• Defect management

• Release management

• Project planning

• Cohort planning

• Test planning

• Test execution

• Trial test planning

• Rollout

• Business analysis

• Requirements engineering

• Change management

• E2E test coordination

• 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.

• Responsible for introducing agile methods within the Interface & Integration Team (2 Scrum Teams)
• Planning and delivering trainings in agile methods
• Facilitating workshops and Scrum events
• Removing impediments
• Increasing sprint performance

• Business intelligence and KPI specification and playbook for 35 European companies.

• WRICEF objects (Reports, Interfaces, Conversions, Enhancements, Forms and Workflow) in the FI and CO modules of S/4HANA ECC using ABAP OO
• Use of SAP HANA Studio, AIF, SAP Solution Manager, Confluence and Jira
• Environment: SAP S/4HANA on Premise 2020

Project: Develop a new generational Pricing system & Integration analyst

Roles and Responsibilities:

• Implemented PROS Pricing integrated with SAP S/4HANA 2022 Greenfield implementation.
• Led pricing process transformation, improving business process efficiency through automation.
• Defined migration strategy, conducted user training, and supported solution rollout.
• Acted as Business Analyst for SAP BTP applications (Online ATP, Track & Trace, Order Status), translating business requirements into scalable solutions.
• Managed cross-functional delivery by coordinating SAP ABAP and Full Stack development teams.

• Strategic consulting, technical consulting, interim management, and training
• Management consulting and development of application solutions through interdisciplinary solution approaches
• Employee and team development as well as innovation and communication management

• Designed, developed, and configured scalable data applications aligned with business processes and technical requirements.
• Architected scalable, cost-effective data architectures leveraging Snowflake across AWS, Azure and GCP, integrating dbt for data transformation and modeling.
• Built and maintained robust ETL Data Pipelines, ensuring high data quality for seamless migration and cross-system integration.
• Demonstrated strong expertise in SQL & Python with extensive experience in data modeling, ETL/ELT pipeline development, and streaming data processing; proficient in Git-based version control, CI/CD practices, and testing frameworks, with solid knowledge of data quality, observability, cost optimization, security, and data governance principles.
• Led multiple data migration initiatives from SAP HANA to Snowflake using a modular dbt framework.
• Designed and maintained end-to-end data transformation workflows using dbt on Snowflake, implemented layered data models, optimized performance, and ensured high-quality data delivery for business intelligence and reporting.
• Managed development, QA, and production deployments through structured version control and release management using GitLab.
• Integrated and centralized data from multiple sources including relational databases, flat files, Excel, and large-scale systems into Snowflake.
• Applied strong expertise in Sales, Marketing, HR, and ERP data domains, developing and maintaining relevant KPIs and reporting solutions.
• Collaborated with cross-functional teams to deliver end-to-end data solutions on schedule through proactive issue resolution and effective coordination.
• Administered the Snowflake sandbox environment for Data Engineering division.
• Trained colleagues transitioning into data roles on Snowflake and provided technical guidance and mentorship to junior team members.