Enterprise Resource Planning Expert in Berlin

• LLM-based features for automated CO₂e data extraction from unstructured documents (70% reduction)

• Agentic AI pipeline for automated Scope 3 emissions calculations with 150.000+ validated data records

• Intelligent API workflows for real-time carbon footprint calculations in ERP and ESG systems

• ML algorithms for predicting emissions hotspots and optimizing product design

• Automated data validation pipelines with NLP for quality assurance of CO₂e datasets

• Led a 15-person cross-functional team in developing 10+ AI features

• Strategic product planning and AI roadmap with 35% shorter time-to-market

• Stakeholder management with DAX companies (40% higher satisfaction, 95% retention)

• On-time project delivery with 95% budget adherence through data-driven backlog management

• Agile methods (Scrum, Kanban) with continuous AI/ML integration (25% increase in team velocity)

• Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)

• 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.

• Advising companies on building, migrating and optimising BI and reporting landscapes (Power BI, SQL, Python, ETL)

• 5 client engagements in real estate and finance since 05/2025: taking over and stabilising existing reporting, automating recurring standard and management reports, building cash-flow models

• Proposal and feasibility assessments for BI and reporting projects

• Using AI-assisted development (Claude Code) to accelerate automation, tooling and web/app development

• Custom ERP system

• Problem: A client's core processes ran on scattered, siloed Excel files with no central data storage – error-prone, hard to scale and impossible to analyse end-to-end.

• Approach: Captured the business processes and requirements, modelled the data and developed iteratively together with the business team.

• Implementation: Built a tailored, web-based ERP system with a central database, role-based modules and automated reporting – delivered using AI-assisted development in Claude Code.

• Timesheet app

• Starting point: Time tracking based on an overgrown, macro-heavy Excel template – maintenance-intensive, single-user and error-prone.

• Implementation: Migrated all functionality and VBA macros into a standalone web app with central data storage, multi-user support and automated reporting.

• Cash-flow modelling

• Starting point: The existing cash-flow model covered standing investments only; project developments were missing from steering.

• Implementation: Built and extended the CF model to include project-development cash flows.

• Optimisation: Reviewed and optimised existing CF models and expanded the KPI outputs for reporting and steering.

• Led development of 15+ microservices (Java 17, Spring Boot) driving customer interactions; migrated from on-prem to GCP Kubernetes, improving scalability and reducing infra cost by 20%.
• Optimized user services with CouchDB caching and API refactoring, cutting response times by 35% and enhancing customer experience.
• Implemented canary deployments, FluxCD GitOps, and CI/CD optimizations in GitLab, reducing release lead time by 25% and enabling zero-downtime rollouts.
• Set up Grafana health checks and Anodot alerts for latency, error, and throughput monitoring, reducing MTTR by 40%.
• Built secure APIs using OAuth2, DPoP, and Gatekeeper, integrated REST and GraphQL, and achieved 90%+ test coverage with unit and E2E tests.
• Mentored junior developers, promoted Agile best practices, and collaborated cross-functionally to deliver high-impact, reliable customer-facing features.

• Full-service marketing agency for global technology groups

Product Owner ServiceNow

Scrum Master and agile project management for the further development of ServiceNow and its IT interfaces

Coordinating requirements with all Process/Service Owners and external providers (Incident, Problem, Knowledge, Change, Service Request, Catalog, Software Asset/Hardware Asset/Config Management, Financial Management, SecOPS)

Managing internal/external software developers

Coordinating interfaces and catalogs for new IT providers

I partnered with pre-seed / seed stage founders as a go-to-market strategy lead.

• Led ICP definition / customer discovery, established GTM playbook and implemented AI tools to improve process efficiency, growing ARR 7x in 12 months
• Translated early traction into investor narratives, KPIs, and financial models, contributing to a $5M seed raise

Assessment of the product, delivery, and AI organization with a realignment of operational excellence, target architecture, and AI-first operating model

Situation: The product and delivery organization showed structural weaknesses in efficiency, control, and collaboration. In addition, there was no clear target architecture for AI-driven product and organizational development. At leadership level, there was limited transparency regarding roles, responsibilities, and operational performance.

Responsibility & approach:

• Analysis of the existing product, delivery, and organizational structures in terms of processes, governance, and controllability
• Evaluation of architecture and platform with regard to scalability, future readiness, and AI integration
• Development of a target picture for an AI-first product and delivery operating model
• Derivation of concrete measures to improve operational excellence and collaboration
• Sparring with the leadership team on structured organizational development

Results & impact:

• Creation of transparency regarding structural bottlenecks, performance, and decision-making logic
• Development of a target structure for a scalable AI-first product and delivery setup
• Improvement of decision-making capability and control at leadership level
• Creation of a solid basis for downstream transformation measures
• Definition of concrete levers to improve efficiency, collaboration, and time-to-market

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.

Metrify - OS & Analytics Layer Team:

• Built data architecture foundations through pre-commit contracts and modern dbt metadata structure
• Built and maintained modular layers for smart-meter rollout ops, codifying business rules into Star dwh.

Enpal - Central Data and Platform Team (SCM & Finance):

• Designed and built dbt models delivering a curated analytics layer for SCM and Finance stakeholders.
• Implemented inventory reconciliation across sources (ERP vs 3PL; snapshots vs movements) and surfaced variance drivers at SKU/location/channel level.
• Developed Weeks-of-Stock KPI and stock depletion projection (demand + inbound supply) to support planning and operational decisions.

• Leading innovation strategy and the establishment of an AI-native Production System at DIGITALSINN, a content and experience production company.
• Responsibility for innovation direction, AI integration strategy, and production platform architecture
• Establishing a fully AI-driven Production System to transform content operations for brand and agency clients
• Building the strategic positioning of DIGITALSINN as a Production System partner within the DACH market
• Client advisory on AI-native operating models, content automation, and scalable production infrastructure

• Directed the contracts management function for Europe's largest renewable energy portfolio, 10 FTE
• Implemented process automations by architecting scalable, data-driven workflows leveraging AI and traditional automation

Following the Vaillant engagement, established independent practice focused on senior SAP advisory and building ASTRA — a methodology, not a tool. ASTRA is independent and unbiased: the same four pillars serve CIO / Business Leadership, SI / SAP Practice, and Programme Director / Principal with equal weight. No audience is primary.

ASTRA serves three audiences with equal weight — CIO / Business Leadership · SI / SAP Practice · Programme Director / Principal. ASTRA is independent and unbiased — it does not sit inside any SI practice and does not serve any single audience as primary customer. Each audience receives a role-calibrated output from the same analysis.

One methodology, two outcomes:

OUTCOME 1 — SAP TRANSFORMATION GOVERNANCE:

Any active SAP programme: ECC→S/4HANA Greenfield, Brownfield, Global Rollout, AMS. The four pillars answer the four questions that determine whether a transformation succeeds — for any of the three audiences.

• Are business requirements clean — or is the SI building what SAP standard already covers? (Functional Auditor → all three audiences)
• Is the custom object inventory healthy — or accumulating debt that blocks upgrades? (RICEFW Auditor → Director and CIO)
• Is the SteerCo reporting accurate — or is leadership seeing a Watermelon? (Truth Engine → CIO and Director)
• Are people ready for the system they are receiving? (Human Signal → CIO and Director)

OUTCOME 2 — AUTONOMOUS ENTERPRISE READINESS:

Any programme deploying Joule, pursuing RISE, or planning an AE migration. The same four pillars answer the questions SAP does not — again, calibrated per audience.

• Which custom objects block the 224 Joule AI agents? (RICEFW Auditor → SI gets remediation paths, Director gets verdicts, CIO gets financial impact)
• Is the Fiori deployment complete enough to activate Joule? (Truth Engine → all three audiences)
• Is the workforce trained for AI-native working? (Human Signal → CIO and Director)

Four pillars (each serves all three audiences):

• Functional Auditor: Clean Core Score 0–100. Section A (CIO): KG fidelity risk in €. Section B (Director): SI challenge questions, man-day saving. Section C (SI): Language Translation Ledger, SAP alternatives.
• RICEFW Auditor: Joule API Pathway Audit, Clean Core Level A–D, Technical Debt Index 1–10. Section A: financial impact of blocked AI agents. Section B: RETIRE/MIGRATE/REDESIGN/KEEP verdicts. Section C: BTP remediation paths.
• Truth Engine: Watermelon Detection, Fiori Deployment check, Programme Truth Score 0–100. Section A: 3 SteerCo questions. Section B: 48-hour action list. Section C: vendor friction map.
• Human Signal: three-stage Fiori adoption model, HITL Policy readiness, Human Signal Score 0–100. Section A: GUI training weight, AE adoption financial risk. Section B: go-live recommendation, stakeholder resistance map.

On-Demand SAP Advisory:

• SAP Programme Management — end-to-end governance, factory management, multi-stream delivery, vendor oversight, SteerCo reporting for Greenfield, Brownfield, Rollout and AMS programmes.
• Delivery Management — RICEFW oversight, Data Migration governance, Release & Cutover management, Hypercare, SLA/KPI management.
• Due Diligence & Landscape Assessment — SAP landscape review, AS-IS/TO-BE roadmap, RFP structuring, SI selection advisory.
• IT Strategy & CIO Advisory — transformation roadmap, Clean Core strategy, Autonomous Enterprise readiness planning.
• Programme Recovery — distressed programme assessment, rapid governance setup, escalation resolution.

Operating through senior professional networks across EMEA.