Customer Relationship Management Expert in Munich

• Analysis of the Riester subsidy GeVos for provider change 2.0 in the AZUR subsidy management system
• Representation of the GeVos in BPMN 2.0 with Draw.io and Adonis
• Analysis of the data sets exchanged with the life insurance policy administration system and migration to the msg data sets
• Design and mapping of the interfaces to the new msg.ZulagenVerwaltung for various Riester subsidy GeVos at data field level

AI telephone assistant platform

Claude Code, Google AI Studio, Python, LLM / Voice-AI, PostgreSQL

• Conception and hands-on development of an AI-supported telephone assistant platform (voice AI / LLM) – from idea and architecture to MVP/product.
• Built agentic workflows and full automations with Claude Code and Google AI Studio.
• Also delivered AI-supported work in client engagements: used Claude Code for governance documentation, requirement drafts, and automations.

• Rework demand, development and operational organizational set up for the Solution Train
• Rework requirement refinement process flow from strategic theme to user story
• Introduction of visualization tools (Canvas) of work dependencies over different requirement levels and Solution Train leadership coaching

• Project management for a simplification project to reduce effort for an IT transformation project
• Stakeholder management and preparation of decision documents for top management
• Scoping and PI planning across multiple delivery streams
• Planning requirements for the transformation project
• Creation of partner and customer journeys for the structured end-to-end capture of requirements
• Design of suitable tracking methods for project progress
• Coordination with IT service providers and transformation project committees

• Consulting across two integrated areas: Commercial Strategy (pricing, sales steering, marketing strategy, market expansion, margin management) and Operational Efficiency (process automation, AI integration, workflow design, last-mile automation).
• Development of custom SaaS solutions, explicitly tailored to the specific requirements and processes of each company.
• Delivery of AI training and change management workshops for managing directors and specialist departments, including AI competence training with a certificate of attendance under Art. 4 of the EU AI Act.

• Planned and managed strategy and daily operations for cross-functional team with end-to-end testing and launch readiness responsibility, facilitating early product launches.
• Managed complex set of stakeholders including weekly alignments (60+ regular participants), communications, risk management and budget.
• Implemented AI solution that reduced documentation and testing automation time by 60%.
• Restructured team into agile processes and quarterly iterations, delivering 400+ high-quality features in 15 epics according to time and quality expectations.

Outcome: Implementation of an APS solution (Eyelit) across multiple international production sites, including definition of target planning processes, integration architecture (SAP – APS via middleware), and alignment of complex manufacturing requirements (e.g. autoclave planning, alternative routings). Establishment of governance structures, steering formats and decision frameworks to manage scope, cost and timeline across multiple stakeholders. Successful handover of project leadership to internal successor, ensuring continuity and sustained project delivery.

Role in Project: Project Lead / Program Manager

Main Tasks in Project:

• Led APS implementation across multiple plants (Germany, Canada, France, US) with focus on end-to-end planning & scheduling processes and system integration
• Acted as central interface between business stakeholders (plants, operations), IT (SAP/middleware) and vendor (Eyelit)
• Drove requirements engineering, including consolidation of plant-specific requirements and steering of sign-off process
• Managed vendor (Eyelit) performance, including scope clarification, effort discussions and commercial alignment
• Identified and challenged gaps between standard APS functionality and complex manufacturing requirements (e.g. autoclave planning, batch optimization, alternative routings)
• Defined and implemented project governance structures, including Steering Committees, risk reporting and decision frameworks
• Led escalation management on cost overruns, scope deviations and delivery transparency
• Coordinated integration strategy (decision for custom middleware vs. standard connector) and alignment with SAP landscape
• Improved project transparency and way of working, including definition of reporting structures, tracking logic and communication cadence
• Facilitated alignment between global and local stakeholders to ensure feasible timelines, resource planning and plant readiness
• Prepared and delivered SteerCo updates and executive decision documents
• Managed structured project handover to internal project lead, including knowledge transfer, documentation alignment and stakeholder transition.

• Project management in the area of "Campaign, Offer and Performance Management Classic" for PAYBACK partners from the retail, FMCG and financial services sectors
• Campaign planning, development and implementation of offer-specific concepts and measures for the channels newsletter, digital advertising (web and app), stand-alone mailings and the print mailing "PAYBACK points overview"
• Coordination with PAYBACK program partners (including American Express, Netto, EDEKA, Marktkauf & Trinkgut), PAYBACK specialist departments and agencies
• Documentation of tasks and processes as well as onboarding of the future role holder

• Concept & IT implementation of inbound B2C campaigns, BPM process documentation
• Cross-departmental implementation of multiple whitepapers / guides
• Setup of the customer journey with MS Dyn365 / CRM: forms, landing pages, campaigns
• Project controlling, process documentation, testing and training / coaching, analytics reports
• Hands-on implementation & on-time launch of all campaigns for digital new customer acquisition

• Vacancy cover during extensive personnel changes and ongoing professionalization and digitization initiatives
• Leadership and stabilization of the marketing team and improvements of marketing organization, processes and infrastructure
• Development of team roles, working methods and internal collaboration
• Establishment of digital marketing structures, CRM and marketing operations initiatives
• Introduction of AI-driven workflows for content and knowledge management
• Sharpening of positioning in the business units OEM and Aesthetics
• Management of strategic projects such as Microsoft Dynamics Customer Insights implementation and international brand protection projects
• Team stabilization despite extensive personnel changes
• More efficient marketing processes and reduced operational complexity
• Foundation laid for further digitization and growth initiatives

• Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
• Implementation of automated end-to-end cloud processes
• Development of LLM and NLP models
• Creation of interactive reports
• Support for national and international large corporations as well as medium-sized companies in implementing ML projects

• Defined the vision, strategy, and roadmap of AI-powered analytics products, ensuring they met the business needs of Sales, Marketing, Finance, and executive teams across Europe.
• Collected business requirements, prioritized AI product features, and led Agile development of forecasting and analytics solutions. Defined product specifications, user stories, and acceptance criteria to ensure successful delivery.
• Collaborated with business stakeholders, Product Owners, data scientists, ML engineers and software engineers to transform AI models into scalable business products and integrate AI insights into operational workflows.
• Designed and implemented Generative AI solutions leveraging Large Language Models (LLMs) to automate reporting and enable natural-language querying of enterprise data, reducing manual effort by approximately 30%.
• Defined product goals and success metrics, tracked product performance and user adoption, and continuously improved the product based on user feedback and business results.
• Established data governance, master data quality and reporting standards across SQL, BigQuery and Power BI environments to ensure reliable, secure and scalable analytics.

Service provider: technical documentation, translations, training, consulting services D-A-CH Focus on automotive, mechanical engineering, medical devices (Life Sciences) SMB, key accounts (all automotive OEMs) Sales strategy, marketing, pricing Operational sales activities

• AI Integration (LLM & RAG): Design and build of an internal intelligent RAG system (Retrieval-Augmented Generation) based on LLMs, n8n, and vector data for the automated analysis of technical documents and error logs.
• Design & Implementation: Design of a robust RS-232/UART communication interface for an SBC-based embedded device to control medical shaker systems.
• Architecture & Protocol Design: Implementation of a highly maintainable software structure (OOP, SOLID) and definition of hardware-close, resilient communication protocols including multithreading and advanced error handling.
• Quality Assurance & DevOps: Test automation using xUnit, integration tests directly on the hardware target, and maintenance of technical documentation according to strict medical technology standards via Azure DevOps.

Label: C#, .NET, LLMs, RAG, n8n, RS-232, UART, Multithreading, async/await, xUnit, gRPC/protobuf, Blazor, MudBlazor, EF Core, Visual Studio 2026, Azure DevOps