SAP ECC Experts in Munich

• 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;

• 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

• Lead SAP Controlling, Product Costing and Material Ledger activities across multiple legal entities, improving standard-costing consistency, inventory valuation and month-end financial reporting.
• Contributed to a 30% reduction in the overall financial closing cycle by coordinating SAP Finance, Controlling, Material Ledger and plant-closing activities against a structured month-end calendar.
• Maintain 99.5% SLA adherence while resolving complex Level 2 and Level 3 incidents across Product Costing, Cost Center Accounting, Material Ledger, Actual Costing, WIP, variance calculation and production-order settlement.
• Execute and validate individual and mass standard-cost estimates using CK11N and CK40N, ensuring accurate costing based on current BOMs, routings, activity prices, purchasing conditions and overhead structures.
• Improved product-costing accuracy by identifying and correcting inconsistencies across material-master costing views, activity types, work centres, BOMs, routings and purchasing data.
• Reduced month-end delays by resolving missing cost estimates, incomplete settlement rules, incorrect activity allocations, variance-calculation errors and production-order settlement failures.
• Reconcile production-order costs, inventory values, purchase-price differences, work in process, production variances and settlement postings across SAP Controlling, Material Ledger and General Ledger.
• Execute Material Ledger and Actual Costing close activities, including price determination, purchase-price-difference allocation and periodic unit-price validation.
• Analyse manufacturing-cost variances across raw materials, labour, machine activity, subcontracting, production usage and overhead costs, enabling business controllers to identify root causes and cost-reduction opportunities.
• Configure and support costing variants, valuation variants, quantity structures, cost-component structures, overhead-costing sheets and automatic account-determination settings.
• Coordinate annual standard-cost planning, costing runs and standard-price releases with Finance, Procurement, Production and plant-controlling teams.
• Improved indirect-cost visibility through cost-center planning, activity-price calculations, assessments, distributions and cost-allocation cycles.
• Support profitability reporting through Account-Based CO-PA, enabling analysis by product, customer, market, company code and profit center.
• Developed reconciliation controls, standard operating procedures and costing reports that improved financial governance, closing accuracy and audit readiness.
• Facilitate workshops and knowledge-transfer sessions covering standard costing, Material Ledger, WIP, production variances and production-order settlement.

• Responsible for cutover planning and go-live management of several parallel IT releases in the e-commerce environment
• Creation and maintenance of cutover plans, runbooks and rollback scenarios as well as audit-proof documentation of all cutover activities
• Definition and management of Go/No-Go decisions, escalation paths and resource availability during the cutover window
• Coordination of technical and business workstreams, management of external service providers and ensuring data consistency
• Management and evaluation of dress rehearsals, structured handover to the hypercare phase
• Cutover reporting and communication before, during and after go-live at decision-maker and C-level level
• Result: All releases completed as planned, cutover structures sustainably established and handed over

• Analysis of affected business processes taking numerous stakeholders into account
• Interface analysis, architecture and system design
• Communicating and coordinating various subprojects and interface partners
• Creating epics and user stories, maintaining the backlog, workshops and review presentations
• Support during implementation between business departments and development
• Test management including strategy and approach definition
• Test case definition, execution and approval
• Cross-team organization of integration and acceptance tests
• Support of test environments
• Technologies and tools: Java, Angular, Kubectl, REST, AWS SNS/SQS, Kafka, S4/HANA, Bruno

• Project management
• Taking on special assignments for executive management
• Truck & Bus organization

• Head of overall technical integration NSC (National Secure Cloud, project with approx. 60 employees).

• Technical integration of all subprojects into one product, definition of interfaces and basic components of a cloud including hardware, technical architecture of the IABG platform.

• Development of a Cloud Management Platform (CMP) capable of creating private/mixed clouds of any complexity based on a textual description with one click or interactively.

• CMP also includes the complete hardware management lifecycle.

• Kubernetes, OpenStack and Hadoop are used as the foundation.

• The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are configured automatically.

• Private cloud can run any customer workloads, including a full Hadoop layer with HDFS, Spark, MapReduce, Mesos, HBase and around 20 additional ML/DL technologies.

• Hadoop worker clusters can also be installed automatically without Kubernetes on bare metal or commodity hardware.

• OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.

• Development of a Java application Rudi: SOAP, REST, containers, DB.

• Technologies: Kubernetes (K3s, Rke2, Minikube, Harbor, Gitea, Jenkins, Longhorn, Keycloak, Rancher), OpenStack (Nova, Neutron, Keystone, Swift, Ceph, Cinder, Sahara, Magnum, Kayobe, Kolla, Bigrost, Ironic), Hadoop (HDFS, Ambari, Solr, Livy, Ranger, YARN, Tez, HBase, Kafka, Hive, Zookeeper, MapReduce, Spark, Oozie, Flink), virtualization (Kubernetes (K3S), VMware, Oracle), scripting (Ansible, Puppet, Juju, Shell, Groovy, Gradle, Maven).

• Overall process definition, planning, training, tools, effective execution, and progress and quality measurement of test activities at the release level
• Defining and improving the test process
• Scheduling of releases
• Coordinating alignment with release management for test setup and data provisioning
• Coordinating migration test planning for Westnetz, Mitnetz, and EON Grid
• Monitoring test progress, audit-proof documentation, progress tracking via defects, OSS reports, and incidents
• Designing and coordinating potential test automation

IT environment: Jira Zephyr, Confluence, SIGMA, PowerBI

• Support of BASF units in change management for the introduction of a Sales & Operations Planning process based on OMP SOP

• Leading the company
• Strategic planning and business development
• Overseeing operational processes

• Project: SAP migration (ECC to S/4HANA) – US-based internal analytics product to manage finance and personnel performance insights of 10,000+ users across the Americas.
• Led cloud migration from a legacy data warehouse to Azure Data Lake and Databricks, improving system scalability by 40% and reducing manual interventions by 60%.
• Delivered end-to-end product ownership across 3 cross-functional Agile teams using SAFe methodology and Azure DevOps.
• Designed and implemented data pipelines using Azure Data Factory, improving data ingestion speed by 30% and reducing data errors by 25%.
• Defined the product roadmap, backlog, and sprint goals in collaboration with stakeholders, ensuring 95% of deliverables met business expectations.
• Managed the product backlog and prioritised feature development based on stakeholder needs, achieving a 25% increase in sprint velocity and a 100% sprint completion rate.
• Facilitated Agile ceremonies (sprint planning, reviews, retrospectives) that improved team collaboration and reduced delivery times by 20%.
• Led requirement gathering and analysis, enhancing data quality and aligning with business objectives, resulting in a 25% improvement in migration efficiency.
• Worked closely with business owners, achieving a 15% reduction in dispute resolution time and stronger alignment with business value.
• Established KPI dashboards to measure product adoption and platform stability, resulting in 20% improved stakeholder satisfaction.