SAP HANA Experts

• Managed the integrated SAP S/4HANA delivery plan for 12 BTS workstreams, including milestone, dependency, and governance management.
• Coordinated end-to-end delivery across Business, IT, and Operations, focusing on execution, readiness, and issue resolution.
• Responsible for RAID, test, cutover, and deployment management to ensure a successful go-live.
• Implemented KPI tracking, status reporting, and PMO governance to provide transparent management of performance, risks, and escalations.

• Redesign of the company's BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment featuring a unified data model as the company-wide single source of truth
• Consolidation of previously isolated reporting logic into a central semantic model – eliminating redundant files, manual data transfers, and inconsistent metrics between departments
• Forecasting & planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enables rolling forecasts and continuously up-to-date cash flow transparency for management
• Optimization of existing Power BI dashboards in terms of performance, structure, and analytical value using an AI-native approach
• Analysis and improvement of the data model, including data quality analyses, data cleansing, and consistent modeling using star schema, DAX, and Power Query
• Incident & anomaly analysis: Identification, investigation, and explanation of data anomalies, including root-cause analysis and concrete recommendations for action
• AI solution architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
• Creation of a historical data layer as a basis for trend and time-series analyses
• AI-supported automation: Design and development of AI skills, agents, loops, and processes for the automated analysis and interpretation of reports
• Automated reporting workflow: Setup of scheduled, automated email distribution of AI-generated analyses and recommendations to stakeholders
• Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
• Breaking down overall requirements into clearly defined work packages and tasks
• Definition, prioritization, and management of milestones throughout the entire project lifecycle

Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code

• 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.

• New development and further development of the existing MS Dynamics CRM

IT systems: Microsoft Dynamics Customer Service, SharePoint, DevOps, SAP IS-U

• CRM implementation / further development
• Taking over from the previous service provider
• Business process analysis
• Agile project organization
• Business analysis / requirements engineering with AI support
• Use of AI in development
• Analysis of master data processes
• CRM customer data management
• Requirements documentation
• Stakeholder management
• Workshop moderation

• Independent consulting at the intersection of HR, Finance and IT
• Focus on People Analytics, HR Controlling, Pay Transparency, Compensation & Benefits and HR Transformation
• Analysis of complex HR and business data and development of reliable decision-making foundations for management and HR
• Design of KPI, reporting and BI solutions as well as data-based management models
• Consulting from analysis and concept development through implementation of transformation and optimization projects
• Focus on SAP Analytics Cloud, SAP BW and Power BI
• ISA = Insight · Structure · Alignment

• Creation of detailed concepts for all relevant GTS modules (compliance, pricing, customs clearance, Intrastat, preferences)
• Planning and conducting workshops, including scheduling and documentation
• Development and consulting of the organisational structure and its master data
• Setup and customisation of compliance functions: sanctions list review, embargo, legal control, US re-export
• Uploading and maintaining sanction and commodity lists
• Implementation and validation of integration tests
• Setup and customisation of the modules: pricing (including uploading of customs tariff numbers and STAWN data), customs clearance (including application for test operation with customs), Intrastat and preferences (including preference calculation and LLEs)
• Development and presentation of prototypes
• Derivation of insights for the final concept

• 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.

Digitalization of real-world locations using 3D/LiDAR scans to make spatial data usable for AI applications and derive concrete use cases and prototypes from it.

• Digital capture of real-world locations as a basis for faster planning and analysis
• Browser-based access to 3D data for easier use and coordination
• Conversion of spatial data into concrete use cases, prototypes and AI training scenarios
• Planning basis for urban development and other digital applications of the future

Keywords: LiDAR, 3D scan, AI, use cases, AI training, prototyping, Python, web development, data models, architecture

SAP HANA - SuccessFactors deployment

• Implementation of sub-modules Recruiting + EC Benefits + TeamGoals
• Global rollout with adaptation to country-specific legal requirements, including standardization
• International stakeholder management
• Onboarding of the new group companies in Kenya and Greece regarding SAP SuccessFactors

The consultant's responsibilities/actions are:

• Consulting on the migration of material master & PP Master data
• Prepare Article List template for Cutover Phase
• Implementation of data cleansing measures using individual and bulk changes
• SAP all mandatory fields data extraction regarding Business needed
• SAP migration, Cutover, Testing, BAT, UAT
• Align with the multiple Stakeholders regarding Data from Legacy and SAP System
• Deployed SAP MM best practice (guided configurations, active methodologies and road map for project initiation)

SAP ERP | SAP GEMINI | SAP Fields Coordination | Documentation | SAP IDoc | SAP Integration | SAP End-to-End Process | SAP MM (Material Management) | SAP Functional Consultant | SAP Gap analysis | SAP MDM (Master Data Management) | Data Migration & Management

• Objective/Motivation: PAYONE urgently needs a 360° view of its customers. So far, PAYONE has had no company-wide master data strategy. It is not possible to identify customers across all relevant systems.

The organization is to be enabled to identify customers across all relevant systems. Establishing the basis for master data management at PAYONE

• Challenge: Due to company acquisitions, the system landscape is very heterogeneous. The company is highly dynamic and burdened with many system harmonization and integration projects, meaning that resource bottlenecks and changes in project priorities repeatedly create an almost impossible task.

Due to BaFin findings, the project has a central task and role. The first focus is the migration of all customers, including their AML/KYC data, from the master data backend systems to Salesforce. This is intended to resolve one of the largest findings and establish the corresponding ODD/EDD processes.

In addition, customer data must be harmonized in Salesforce. Previous migrations resulted in duplicate customer records in some cases. The aim is therefore to maintain only one customer in Salesforce and, using the relevant information from the backend systems, also be able to identify which products the customer uses and in which processing systems the customer obtains PAYONE services.

Project: ONE Customer

Budget: €1.5 million

Team: 10/30 employees (full-time/part-time); 4 vendors/providers

Integration: 8 (subsystems/interfaces)

Applications: Salesforce; SAP S4/HANA; in-house developments

Tools: MS Office; Jira, Confluence, SharePoint

Methods: Hands-on; Agile (SAFe); Prince2

Leading public Cloud Projects hands on. Develop the German market for SAP consulting company Inxap focused on edge technologies.

• Built and expanded INXAP's SAP consulting presence in the German market, focusing on AI, automation, IoT, and next-generation financial process technologies.
• Advised CIOs, CFOs, and IT leadership teams on SAP strategy, digital transformation, and Center of Excellence (CoE) operating models.
• Led executive-level engagements, shaping solution roadmaps and driving high-value SAP S/4HANA, SAP Public Cloud and financial process automation initiatives.
• Developed and negotiated strategic deals, ensuring alignment with corporate IT priorities and delivering measurable business outcomes.
• Positioned INXAP as a trusted partner for edge technologies by translating complex innovations into actionable enterprise use cases.
• Built relationships with key stakeholders across corporate IT, enabling long-term partnerships and repeat business.
• Identified market opportunities, crafted go-to-market strategies, and represented INXAP in executive discussions with German enterprises.
• Coordinated cross-border collaboration with Swiss leadership to align offerings, delivery models, and client acquisition strategies.

• 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