ERP Managers in Germany

Driving AI model quality at scale — evaluating prompt-response accuracy, flagging edge cases, and maintaining SLA-compliant workflows across distributed global teams.

• Analyse AI prompts and side-by-side model outputs to assess response quality, factual accuracy, relevance, consistency, and compliance with project evaluation guidelines.
• Perform fact-checking, data validation, troubleshooting, issue identification, and edge-case review to improve quality standards across AI training support workflows.
• Use Google Sheets, Google Docs, and browser-based tools to document findings, maintain evaluation logs, track issue patterns, and support workflow optimisation in a remote environment.
• Create clear written justifications, review summaries, and KPI-oriented reporting focused on accuracy, turnaround time, documentation completeness, defect identification rate, and SLA adherence.

Ensuring project coordination for the implementation of Microsoft Dynamics 365 Finance & Operations: stakeholder management, meeting coordination, open issue tracking, task prioritization and knowledge transfer between business units and IT.

Managing the harmonization and further development of an international CRM- and ERP-related system landscape across multiple product lines and markets (PMI)

• Analysis, design, and requirements management for harmonized end-to-end business processes and business logic (Customer Base & Lead to Order, Lead-to-Cash, Order-to-Cash, Billing, Accounting, Service)
• Integration of Salesforce with billing and accounting systems (JustOn, DATEV) including data model, interfaces, and billing logic together with implementation partner
• Designing a central IT operating model to improve IT project management and DevOps model between business stakeholders, E2E process owners, and IT.

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

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

• On the stakeholder side, the program's reporting line extends up to the company's board and the implementation partner's board.

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

• The focus of the role is to provide expert advice and assessment to define the scope, strategy, and roadmap for migrating Fiserv Germany's SAP ECC system to SAP S/4HANA.

• SAP's recommended best practices 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, ensuring alignment with industry best practices, regulatory compliance, and future scalability.

• Migration strategy definition – evaluating 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 needed to implement required functions in SAP S/4HANA and identify process optimization opportunities.

• Roadmap for non-SAP systems and applications – evaluating third-party and legacy applications for SAP S/4HANA integration and recommending consolidation, migration, or replacement strategies.

• Deployment & implementation planning – defining a phased rollout approach, including project timelines, risk mitigation strategies, and key milestones aligned with business priorities.

• The transformation is carried out in phases: the discovery phase leads to the explore phase, which then leads to the design phase and finally to the implementation phase.

• Program management

• Change management

• Requirements management

• Transition management

• Stakeholder management

• Risk management

• Comprehensive coordination

• Led the end-to-end delivery of a SAP Supply Chain Management (SCM / TD / SD) ERP programme, covering project initiation, detailed requirements gathering, operating model definition, system design, build, testing, cutover, and global Go Live across Europe, Asia, and North America. Ensured the ERP solution supported key supply chain, manufacturing, and planning operations to enable future business growth.

• Conducted cross-functional workshops with Supply Chain, Procurement, Planning, Manufacturing, and Logistics teams to capture business requirements, define the future operating model, and map end-to-end system design. Consolidated over 150 requirements into structured documentation aligned with SAP standards.

• Shaped solution design and vendor engagement during the early discovery phase, supporting selection of best-fit technology partners and ensuring the system design covered production planning, inventory management, warehousing, logistics, and supply chain forecasting.

• Managed D365 configuration and troubleshooting, ensuring alignment with business processes and resolving integration issues between D365, SAP SCM modules, and surrounding systems.

• Supported Grain data model changes to lead ingestion of planning data into Snowflake and Footprint, enabling enterprise reporting and analytics development.

• Managed scope, timelines, risks, and dependencies across international teams spanning Europe, Asia, and the US, maintaining integrated project plans, issue logs, and executive reporting to drive stakeholder alignment and delivery momentum.

• Enabled the integration of AI-powered demand forecasting tools into supply chain planning processes, improving forecast accuracy, inventory turnover, and operational decision-making across multiple regions.

• Led SIT, UAT, and data migration phases, including design of test scenarios, defect triage management, and coordination of test execution to validate supply chain and manufacturing workflows prior to deployment.

• Delivered detailed cutover planning, business readiness activities, and hypercare support, ensuring a smooth and coordinated Go Live and full operational handover to business teams.

• Responsible for the entire migration
• Process mapping across the whole company
• Stakeholder management
• Leading the project team, key users and end users
• Change management

• Migration to HANA BP.
• MDM-Team.
• Master-data-management.
• System landscape: SAP ECC to S4-HANA.

• Concept design and assessment in finance, analyzing customer-specific developments and replacing them with SAP standard.
• Error analysis of the Migration Cockpit.

• Developed and prototype a validated open-source Analog Mixed Signal (AMS) verification toolchain using PyVerilog and Python scripting
• Researched and evaluated complex Electronic Design Automation (EDA) tools and AMS modeling approaches, providing technical recommendations for system-level verification and AI-supported design automation
• Contributed to a major German research group funded by (BMBF) by defining a highly efficient, platform independent technical workflow