E-Invoicing Experts in Munich

• Financial accounting: daily general ledger entries and month-end closing

• Preparation of FY 2024 financial group statements (subunits KF, KNL, KAU, KCH)

• Preparation of physical inventory for KF with inventory instructions for Logistic

• Further development of ERP Finance processes integration with MS Dynamics BC 14

• Implementation of electronic invoice verification and Multi Cash banking software

• Expansion of sales and e-commerce controlling toolbox and processes

• Preparation of budgets 2026, 2027, 2028, including investment plan, cost accounting

• Preparation and commentary on monthly reports for sub-units and Group

• Preparation of weekly financial plans, cash flow and liquidity plans

• Further development of sales controlling, focusing on margins & product profitability

• Creation and integration of accounting workflows for MS Dynamics

• Leadership focus: Stabilization of the finance team and clear scope of work responsibility

• Communication with banks, auditors, tax advisors, and tax authorities

• Complete and accurate monthly reporting for each business unit and the KF Group

• Preparation 2024 financial statements for KF Germany, KNL, KAU, and KNL with audit opinion

• Detailed setup and preparation of the KF 2026 budget for the management and shareholders

• Weekly cash flow planning coordinated with the management and shareholders

• Turnaround in net sales and EBIT from September 2025 onwards – stable growth

• Leadership & change through consistent, data-driven KPIs

• 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.

Tasks

• Further development of a new ERP system with Blazor
• Generation of e-invoices in the XRechnung and Zugferd formats
• UI/UX design Client-server system
• Windows 11 Technology
• Microsoft .NET 9, Git, Azure DevOps, ASP.NET, MSSQL, Blazor Programming languages
• C#, MVVM Development tools
• Microsoft Visual Studio .NET 2022 Database
• MSSQL Industry
• Other

• Support and further development of a complex process for creating XML documents for electronic invoices / E-Invoicing (XRechnung, ZUGFeRD)
• Automation of operational processes, process development and optimization
• Development of frontend applications with MS Power Apps
• Porting SQL Server 2016 to SQL Server 2022
• SQL Server database administration

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

• Support for an SAP S/4HANA migration
• Adjustments and bug fixes in SAP CATS
• Technical stabilization of existing developments
• Code analysis and cleanup of custom ABAP developments