SAP Analytics Cloud Experts

• 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.

• 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

• Designed and implemented enhancements in SAP BW on HANA 7.5 in the context of CRM migration and S/4HANA and BW/4HANA transformation programs
• Migrated SAPI data sources to the ODP framework as part of the S/4HANA migration
• Delivered SAP ECC data to Snowflake using BW data models and Calculation Views for Power BI analytics
• Integrated SAP and non-SAP data sources (including MS Dynamics)
• Improved reporting transparency through consolidated data models
• Optimized data loading processes for FI-CO data sources, significantly improving load times and system performance

• Providing expertise in management consulting to support the improvement of frontier AI models for a leading AI lab

• Implementation of data models in BW/4HANA, ABAP CDS Views, HANA Calculation Views, AMDP Scripts, OData Services, object-oriented ABAP in BW, SAC.
• Adjustments in BPC for BW/4HANA.

Responsibility: Management of the Group's finance and central functions in Europe including Controlling, FP&A, Accounting, Treasury, Tax, Legal and IT. Responsibility for value creation, exit readiness, M&A integration and business transformation with P&L responsibility of EUR 200 million.

Key achievements:

• Earnings improvement: Increased EBITDA and liquidity through working capital measures and reduced HQ costs.
• Exit readiness & financing: Expanded investor reporting, governance and controls; managed investor and banking relationships as well as refinancing and capital structure measures.
• Buy-and-build readiness: Prepared the Group for international acquisitions and the integration of new dermatology platforms.
• Reporting & IT transformation: Implemented, optimized and went live with a new LucaNet solution for Group reporting and consolidation, and achieved faster closing as well as modernization of scalable IT systems for greater transparency and performance management.
• Establishment of the Dutch platform: Established and restructured the platform and took over its commercial and operational management, including the introduction of a new ERP system (AFAS).

Scope: Embedded as FP&A Data & AI Architect within the Finance function of a major European refrigeration manufacturer, leading the transformation of manual, fragmented financial reporting into an automated, governance-driven intelligence platform. Driving the shift from Excel-based controlling to structured data architecture, Power BI analytics, and AI-assisted financial operations.

Financial Data Integrity & ERP Governance

• Initiated and led GL vs. subledger reconciliation investigations, identifying and resolving structural mismatches between General Ledger and subledger data that had gone undetected prior to engagement
• Conducted asset analysis to identify items missing from General Ledger postings, surfacing gaps in fixed asset tracking and period-end completeness
• Validated SAP reports, establishing baseline data quality standards for Finance team consumption
• Established systematic SAP data validation framework ensuring ongoing integrity between ERP postings and downstream reporting outputs

Finance Reporting Transformation

• Designed and implemented a structured Transformation Project approach for converting manual Finance reports into fully automated processes
• Created and owns the Data Reporting Audit Log; a centralized tracking system capturing report owners, stakeholders, data sources, manual effort estimates, and automation opportunity scores across the Finance function
• Mapped the full reporting landscape identifying quick-win automation targets and strategic Power BI migration candidates
• Actively reducing manual Excel and PowerPoint dependency across FP&A workflows; replacing point-in-time snapshots with live, governed data models

Power BI & Analytics Enablement

• Introduced and presented Power BI as the strategic reporting platform to Finance leadership, building internal buy-in for the BI transformation roadmap
• Designed initial Power BI architecture aligned with SAP, Salesforce and Oracle data structures and FP&A reporting requirements
• Established report ownership, governance documentation, and data lineage standards enabling sustainable self-service analytics across the Finance team

Transformation Infrastructure & Collaboration

• Configured and deployed Jira as the transformation project management hub, establishing structured sprint workflows, backlog management, and progress visibility for Finance IT initiatives
• Proposed and initiated a dedicated FP&A Communication & Transformation Hub, a structured cross-functional forum aligning Finance, IT, and business stakeholders around the reporting transformation roadmap
• Positioned the Finance function as an active driver of data governance and digital transformation within the broader organization

Outcomes

• GL/subledger reconciliation gaps identified and investigation framework established within first two weeks of engagement
• Data Reporting Audit Log deployed; first structured inventory of Finance reporting landscape in company history
• Power BI transformation roadmap presented and approved by Finance leadership
• Jira-based project governance live; Finance transformation now tracked with full sprint visibility

Technologies: SAP FI/CO · Power BI · DAX · SQL · Excel (advanced) · Power Query (M) · Power Automate · VBA · Jira · Microsoft 365 · SharePoint · Salesforce (Sales Data) · Oracle HCM · Python

• 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.

Development and Implementation

• Conceptualization and implementation of the various requirements.
• Experience and ability to collaborate with other delivery teams
• Lead a team of 15 people taking care of matters including monitoring operations, delegating tasks and managing budgets.
• Act as product owner and represent the product vision, strategy and priorities in the area of production operations.
• Work closely with the members of the area including developers, analysts and QA to ensure the successful delivery of logistics features and improvements.
• Lead the process design and lead the build team for the SAP implementation (EU countries) and post-merger integration in SAP PP, QM, MM, APO and SD modules.
• Implemented and optimized MRP Live (MD01N) for multiple plants, improving planning runtime
• Worked with business users to transition from classic MRP to MRP Live
• Implemented SAP QM module, including quality planning and inspection lot processing, resulting in a 20% improvement in product quality compliance.
• Developed and tested custom reports using SAP Query and ABAP for MES data analytics, improving visibility into yield rates and resource utilization.
• Translate production requirements into clear and actionable user stories, acceptance criteria and technical specifications.
• Skilled in discrete, and process/manufacturing (PP-PI) environments; deep understanding of master data, production & process orders, recipe management, batch management, capacity & scheduling, shop floor control, and integration with QM, MM, EWM, MES.
• Worked in Variant configuration (VC)
• Supported international rollouts and transformation projects for SAP PP, QM, PPDS, aATP, EWM, and Variant Configuration within a global strategy.
• Tested functionalities for various business scenarios include interface systems
• Involved in SIT and UAT and cutover activities

Technology: Project Management, SAP PP, QM, MM, APO, ABAP OO, HANA Modelling, FIORI, SAP UI5, AMDP, SAP SD, SAP FICO and S4 HANA Emedded analytics

• AI-Enabled Analytics & Reporting: Lead a 2-person BI team, applying predictive analytics and automation to translate complex business requirements into forward-looking insights, recommendations, and financial reports.
• Advanced Data Visualization: Design and maintain 25+ high-impact Power BI/Tableau dashboards tracking company-wide KPIs and trends, structured to support predictive and automated reporting.
• Web Analytics & Insights: Own GA4 tracking and analysis, driving a 15% increase in conversion insight through deeper customer journey analysis.
• Data Pipeline Optimization: Partner with data engineers to redesign and automate data pipeline workflows, cutting manual reporting time by 20% while safeguarding data accuracy and system uptime.

• Reorganizing and structuring business units in line with agile frameworks
• Scaling agile ways of working across multiple teams and departments
• Advising and supporting teams in forming squads and introducing new meeting structures
• Introducing agile portfolio management to align strategic initiatives
• Implementing metrics and KPIs to measure agile maturity and success
• Assisting in integrating agile methods into existing company processes

• The customer is undergoing a comprehensive transformation. All SAP ECC landscapes worldwide are being migrated to SAP S/4HANA, with the goal of introducing a standard template worldwide.

• The program also includes the “RISE with SAP” migration and modernization program, which may involve migrating the landscapes of selected country installations to the SAP Private Cloud.

• On the stakeholder side, the program reporting line extends to the company’s executive board and that of the implementation partner.

• Fiserv Germany’s ERP landscape currently includes several non-standard SAP tools and applications that extend the functionality of the ECC environment and can often be integrated into downstream systems. As part of the transition to SAP S/4HANA, it is essential to assess the core functionality, integration points and future viability of these applications in order to determine their alignment with the target architecture.

• The focus of the work is on providing expert advice and assessment to define the scope, strategy and roadmap for transitioning Fiserv Germany’s SAP ECC system to SAP S/4HANA.

• The recommended best practices from SAP are followed and a structured approach is used to ensure a smooth transition with minimal disruption while maximizing business value.

• This assessment forms the basis for a successful SAP S/4HANA transformation and ensures alignment with industry best practices, regulatory compliance and future scalability.

• Migration Strategy Definition – assessment of available transition approaches based on business objectives, technical feasibility and SAP Best Practices.

• Technical Readiness Assessment – conducting a system analysis to assess compatibility, custom code impact, data volume management, integration points and infrastructure readiness for SAP S/4HANA.

• Business Process Impact Analysis – reviewing the latest business process documentation to define the scope and effort required to implement the necessary functions in SAP S/4HANA and to identify opportunities for process optimization.

• Roadmap for Non-SAP Systems and Applications – assessment of third-party and legacy applications regarding their integration with SAP S/4HANA and recommendation of consolidation, migration or replacement strategies.

• Deployment & Implementation Planning – defining a phased approach for implementation, including project schedules, risk mitigation strategies and key milestones aligned with business priorities.

• This transformation takes place in phases: the Discovery phase leads to the Explore phase, which is followed by the Design phase and finally implementation.

• Program management

• Change management

• Requirements management

• Transition management

• Stakeholder management

• Risk management

• Comprehensive coordination

IT infrastructure / SAP Grantor / SAP-BTP transformation project in the public sector for the digitalization of government funding programs. The goal was a clean-core-oriented SAP-BTP solution architecture with CAP/RAP services, APIs, integrations and operational readiness for Run, AMO and AMS structures.

• Industry: Public
• Budget 2026 5 Mio EUR
• Budget planned for 2027 8,7 Mio EUR
• Team size 45 FTE

AI Assistance and Target Vision for Partially Autonomous Energy Portfolio Management

Building an AI control layer directly on the up-to-date daily live portfolio of a large energy provider — not as an isolated pilot, but as an operational extension of the existing DB1 and portfolio management. The goal is the gradual development from assistance through monitoring/alerting to analysis agents with Human-in-the-Loop approvals, supplemented by a role-specific System of Engagement alongside the BI System of Record. At the same time, the business case, target vision and management pitch compared with static monthly reporting are being developed.

• AI control layer: Design and build on the existing live portfolio data product (several million contracts) — development stages assistance → monitoring/alerting → agents with Human-in-the-Loop approvals.
• LLM-supported data analysis: Semantic queries, SQL/tool integration and additional RAG components based on portfolio, plan-versus-actual and data quality data (Azure OpenAI, Snowflake), with drill-downs to individual contract level.
• Analysis agents: Multi-stage agents for variance and driver analyses of churn, price adjustments, volumes and procurement costs.
• Views concept: Role-specific interfaces for business units, management and C-level as a System of Engagement alongside the BI System of Record.
• Business case & pitch: Target vision and cost-benefit argumentation compared with static monthly reporting.
• LLM setup (privacy & security): Coordination with IT Security and Data Protection — EU region, data separation and approval processes.
• Agent architecture: Multi-stage agent pipelines (analysis → validation → summary) with documented data sources, tool calls, review steps and source references for each statement.
• Data foundation: Built on the up-to-date daily DB1 data product (Snowflake, dbt) — portfolio, plan-versus-actual and data quality metrics as the common basis for all AI analyses.
• Guardrails & evaluation: Evaluation and approval processes for LLM responses relating to management-relevant statements — test sets, metrics and human review.
• Prototyping & validation: Iterative validation of agent responses with the business unit — test question catalogue, feedback loops and response quality for each release.
• Roadmap & development stages: Detailed stages from assistance → monitoring/alerting → partially autonomous management, including transition criteria and governance for each stage.
• Integration: Integration into the existing BI and data landscape — BI remains the System of Record, while the AI layer provides interactive drill-down paths as the System of Engagement.
• Enablement: Enablement of business users — prompting guides, training and an operating model for ongoing use.
• Management: Coordination of business units, Data Engineering, IT Security and Data Protection.
• Change Management: Communication and expectation management with business units and management throughout the development stages.

Results:

• Built on an existing up-to-date daily data product with several million contracts
• Established an LLM setup coordinated with Data Protection and IT Security in the EU region, including data separation and approvals
• Defined three development stages through to partially autonomous management
• Designed role-specific views for business units, management and C-level
• Developed the business case and management pitch for the development stages
• Established an iterative response-quality validation process with the business unit
• Designed the operating model for assistance operations and initiated validation

Stack: Azure OpenAI, Azure AI Foundry, Snowflake, dbt, React, TypeScript, Entra ID, RAG, Agentic AI, analysis agents, Human-in-the-Loop, Prompt Engineering, LLM Evaluation, LLMOps, GDPR / EU region, Azure DevOps, Python, SQL, Change Management