IT Program Managers in Germany

Led the end-to-end integration and migration architecture for decommissioning SAP IS-U market communication and transitioning to Salesforce Marketing Cloud (SFMC) with E.ON IT Services — covering regulated EDIFACT market messaging, a three-phase data migration (transfer of market message inventory after cutover), redesign of market communication processes, and full GDPR and German energy-market compliance.

• Designed the three-tier target architecture (SAP IS-U → NScale B2B gateway → SFMC) processing 50,000–100,000 EDIFACT messages daily within sub-5-minute SLAs.
• Architected the three-phase data migration: 36 months of historical data, zero-loss cutover of in-flight market messages, and near-real-time CDC synchronization.
• Delivered secure, BDEW/GDPR-compliant integration (AS2/OFTP2, RFC/IDoc, REST APIs, OAuth 2.0, Azure AD, AWS S3) achieving >99.5% uptime, <0.1% migration discrepancy, and RTO <4 hours.
• Applied BPMN to model and optimize the market communication processes.

Technologies: SAP IS-U, NScale, Salesforce Marketing Cloud, EDIFACT, OAuth 2.0, Azure AD, AWS S3, BPMN, Jira, Confluence, Draw.io

• Project management and consulting services with a focus on IT interim management: digitalization of corporate management, including processes and applications
• Assessment of the entire IT infrastructure, including applications, core processes and contracts, including cost optimization
• Evaluation and implementation of solutions to promote digitalization in the company in the areas of property management, CRM, invoice review and approval processes, smart metering, DMS and time tracking
• Digitization of file folders and introduction of SharePoint and Microsoft Teams as central document and communication platforms
• Design and delivery of an AI workshop, including the rollout of AI tools to increase efficiency and transparency in key business processes
• Preparation of training materials and delivery of user training for newly introduced digital processes and solutions

In-house consulting provider and driver of transformation within the group, multi-stakeholder environment and C-level.

Realignment and stabilization of a cross-functional transformation and scaling program within the group. Sharpening the target picture, priorities, and set of measures, as well as building reliable governance, planning, and steering structures. Structuring roles, responsibilities, and strategic initiatives while including AI and IT automation ideas.

• Designed program realignment and project portfolio management

• Developed strategy model and target picture for IT projects

• Structured portfolio, roadmap, and priorities

• Established governance and regular meetings

• Worked out operating model for flagship projects

• Assessed AI and automation ideas

• Clarified roles and responsibilities

• Implemented change measures

• Developed, moderated, and evaluated workshops

• Transformed 17 initiatives into a steering model

• Increased transparency and decision-making ability

• Strengthened commitment in steering

• Sharpened the operating model structurally

• Integrated three top-5 institutes

• Involved over 80% of stakeholders

• Governance

• Portfolio steering (PPM)

• Change management

• Artificial intelligence

• Workflow automation

• AI use case assessment

• Confluence

• Jira

• Stakeholder management

MOVE-ZPD – Strategic Infrastructure Project | Total Program Budget 48 Mio. € | Data Center Migration Hannover → Hamburg

Responsibility for a central subproject for migrating business-critical specialist applications to a highly available data center architecture.

• Management of a central subproject for migrating business-critical specialist applications to a highly available data center architecture.
• Independent management of around 30 of approximately 100 business-critical specialist applications, including Exchange (approx. 30'000 users), LDAP, DNS and cross-state applications.
• Management of project structure, milestones, dependencies, risks and escalations, as well as coordination of the required business and technical stakeholders.
• End-to-end coordination of the managed migrations, from planning and structuring through environment provision, testing and acceptance to production deployment and go-live.
• Stakeholder management between business units, Product Owners, data center operations, program organization and external service providers.
• Development and implementation of a standardized server request and change process to speed up VM provisioning and reduce manual coordination.
• Management reporting as well as preparation and moderation of steering and decision-making bodies and workshops.

Technologies & Tools: MS Project, MS Teams, SharePoint, Oracle APEX, CA Automation Manager, Visio, MindManager

• Took over management of the SAP S4 Transformation program after 15 months of project execution
• Assessed the quality of soft facts, particularly the quality of collaboration and communication
• Evaluation, program planning, resource management, and realignment of the timeline
• Introduction of the software delivery model and quality gates
• Initial scope definition in the form of business capabilities
• Introduction of enterprise architecture
• Reporting to the SteerCo for the S4 Transformation program / C-level
• Risk management and escalation when identifying project risks
• Coordination of the various projects within the program

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.

• Project Argo: SAP BW/4 Hana Project Lead, Program and Application Manager, SAP BW/4 Hana Consultant, Architect and Developer.
• Migration of FI data models from SAP BW 7.x to BW/4 Hana.
• Review and implementation of the user and authorization concept.
• SAP S/4 Hana, SAP Basis, SAP BW/4 Hana data modeling and use of the SAP BW Migration Workbench.
• Use of Business Content, BAPI, BW/4 Hana, Hana Studio, HANA Views, Analytical Views, virtual tables and Hana Native SQL.
• Work with ADSO, Open ODS Views, Composite Provider, Hybrid Provider, SAP Solution Manager, Query Designer, Analysis for Office, Lumira and Fiori.
• Use of SAP SAC (Stories, Data Models, Data Analyzer, CDS Views), as well as application management and monitoring of process chains and load jobs.

Project: Design and implementation of an AI product for four business use cases

Project management for an AI project at a leading provider of large-scale catering and food services, where a production-ready AI product for four use cases was implemented together with an external development partner: automated briefings based on CRM and document data, voice-based capture and structuring of reports, detection and consolidation of duplicates in master data, and data-based market analyses. A key focus was a data-protection-compliant architecture that passed the internal IT security review and enabled production use.

• Translation of business requirements into clearly defined AI use cases with a focused product scope and clear value proposition
• Selection and evaluation of models and architecture options for text extraction, speech-to-text, and context enrichment from business systems, including LLM integration, function calling, and retrieval
• Development and implementation of an architecture with European hosting, data minimization, and masking of personal data as a prerequisite for approval
• Management of interfaces between business departments, IT, IT security, and the external development partner under restrictive data access conditions
• Coordination with the CIO and executive management levels on data access, risk assessment, and approval decisions
• Preparation for the transition to production use

• Created project management plans and mobilized resources
• Coordinated third-party and offshore stakeholders for carve-out of two companies in Supply Chain and Finance/Treasury streams

GenAI – Chat & Voicebot

Setup of a GenAI solution with a knowledge base as well as chat and voicebots.

• Definition of use cases and chat/voicebot functionalities
• Project setup for cloud, knowledge base, LLMs and RAG
• AI guardrails, IAM concept
• Governance, Risk & Compliance (GRC)

Result:

Setup of an enterprise GenAI solution with knowledge base, chat/voicebots, IAM and governance.

Global Coupa Program

• Governance and steering of global rollout
• Integration SAP – Middleware – Coupa
• Management of Design, Build, SIT, UAT and Cutover readiness, hyper care and operations transformation
• Vendor & stakeholder alignment

• 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

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

• Project management for software projects in the brake control unit area with a focus on deadlines, costs, and quality.
• Planning, control, and reporting of project progress, risks, dependencies, and work packages.
• Planning and tracking of work packages using PTC Integrity.
• Organizing and moderating customer meetings as well as coordination with internal departments, external suppliers, and third parties.
• Creating and maintaining project documentation according to Automotive SPICE requirements as well as management reporting.