Microsoft Dynamics 365 Business Central Expert in Germany

• Agile Transformation – introducing agile principles and transforming traditional IT departments into Scrum and Kanban teams

• IT Operating Model – redesigning the IT organization and introducing modern delivery structures and roles

• Flight Levels – implementing Flight Levels to align strategy, coordination and operational execution

• Leadership & Coaching – recruiting Agile Coaches and coaching Scrum Masters and IT leaders

• ERP Operations – acting as Interim Product Owner for the existing ERP landscape and ensuring business continuity

• ERP Transformation – supporting the migration from Microsoft Dynamics NAV to Microsoft Dynamics 365 Business Central as a Project Manager

• Operational Core (ERP) – establishing dedicated teams for ERP Support, Feature Development, and ERP Migration

• Modern Workplace – initiating the transition towards a Microsoft 365-based cloud workplace environment

• ConnectHub – establishing a dedicated team to drive integration and connectivity initiatives

• Warehouse Operations – building a cross-functional team to support logistics and warehouse-related capabilities

• Maintenance & Operations (M&O) – introducing a dedicated team focused on stable operations and continuous improvement

• AI Initiatives – identifying and promoting practical Artificial Intelligence use cases across the IT department

• As Interim Chief Digital Officer (CDO) for a leading industrial supplier with a strong e-commerce focus (often described as 'the Amazon for industrial goods') responsible for leading the digital and organizational transformation while reporting directly to executive leadership.

• Introduced agile principles and ways of working across the organization and transformed the traditionally structured IT department into cross-functional Scrum and Kanban teams focused on transparency, collaboration, and customer value delivery.

• Redesigned the entire IT organization by establishing a modern operating model, introducing new roles such as Product Owner, Scrum Master and Solution Architect and strengthening the organization through strategic hiring and targeted capability development.

• Recruited and onboarded Agile Coaches to accelerate the transformation and personally managed and coached Scrum Masters as well as IT department leaders to foster servant leadership, self-management and a culture of continuous improvement.

• Implemented Flight Levels practices based on Klaus Leopold to align strategic objectives, cross-functional coordination and operational execution across the organization.

• Introduced a ticketing system to increase transparency and enable data-driven decision-making, flow-based work management, and greater accountability at all levels.

• Established and supported multiple cross-functional teams, including the Operational Core (ERP) domain with dedicated streams for Support, Feature Development and ERP Migration, as well as teams responsible for Warehouse Operations, Maintenance & Operations (M&O), Modern Workspace and ConnectHub.

• Acted as Interim Product Owner for the operation and enhancement of the existing ERP landscape while supporting the migration from Microsoft Dynamics NAV to Microsoft Dynamics 365 Business Central as a Project Manager.

• Collaborated with the selected implementation partner to design and establish the project organization and target operating model for the ERP transformation, introducing agile delivery structures and ways of working.

• Facilitated the alignment between business, IT and the external vendor and played a key role in negotiating the contractual framework and delivery model to ensure a sustainable foundation for the transformation program.

• Initiated the strategic modernization of the workplace environment through the adoption of Microsoft 365 cloud capabilities, establishing the foundation for enhanced collaboration, scalability and future digital services.

• Launched AI initiatives to identify practical business use cases and promote the responsible adoption of Artificial Intelligence across the IT department.

• Encouraged self-management and empowered teams to take ownership of decisions, delivery and continuous improvement.

Project language: German

• SAP S/4HANA upgrade from Release 2021 to 2025 and FI/CO transformation as part of a new TOM. Four streams and two SAP service providers; management during ongoing operations.

• Overall responsibility for time, quality and budget as well as cross-stream coordination of the four streams

• Coordination of process streams, business functions and SAP service providers

• Establishment and management of governance, planning, risks, dependencies, resources and escalations

• Provider management, regular management reporting, and preparation and execution of project and Steering Committee meetings

• Responsibility as Test Manager for test strategy, test planning, UAT, defect management and acceptance

• Result: Successful preparation for Go-live on 28.09.2026 during ongoing operations; quality and the planned absence of production interruptions ensured. Project governance established and positive feedback from management and stakeholders.

• New development and further development of the existing MS Dynamics CRM

IT systems: Microsoft Dynamics Customer Service, SharePoint, DevOps, SAP IS-U

• CRM implementation / further development
• Taking over from the previous service provider
• Business process analysis
• Agile project organization
• Business analysis / requirements engineering with AI support
• Use of AI in development
• Analysis of master data processes
• CRM customer data management
• Requirements documentation
• Stakeholder management
• Workshop moderation

• Stabilization of Customer Service, logistics and order processing during a transformation phase
• Management of the international warehouse relocation from Switzerland to Germany
• Optimization of processes and reduction of manual work steps in day-to-day operations
• Coordination of international stakeholders to ensure the timely implementation of strategic projects

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.

• Leadership, management, and further development of an accounting team with nine employees
• Responsibility for the preparation, analysis, and quality assurance of monthly and annual financial statements according to HGB
• Ensuring structured intercompany reconciliation and minimizing reconciliation risks using LucaNet
• Coordination of annual closing work and audit preparation while meeting CFO deadlines
• Optimization of accounting processes in the SAP S/4HANA environment in close

• IT consulting
• Power Platform & Databricks
• AI software development (custom software)
• Commercial responsibility for the company

In my role as Senior Cloud DevOps Architect for BP, an oil and gas company, I had the mission to migrate the Electric Vehicle Charging platform of the EV Division from on-premises and Azure to AWS cloud, resulting in a hybrid multi-cloud, multi-tenant SaaS solution.

Deployment with Kubernetes for the application layer meant provisioning Kubernetes clusters managed by EKS and AKS, with a focus on integrating them into a multi-tenant environment. This integration was achieved by using Kubernetes namespaces and access controls to ensure data isolation and privacy enforcement.

In the database layer, we chose an RDS instance with PostgreSQL to support the backend infrastructure of our applications. Tenants shared the same RDS instance, but each had a dedicated schema.

To ingest near real-time data from physical charge points (CPOs), as IoT devices, via the OCPI protocol, we ran into significant delays with batch processing. As a result, we built a real-time streaming data pipeline using Apache Kafka, while prioritizing an event-driven architecture.

Led collaboration across multiple internal teams, external vendors, cloud providers, and on-site partners to integrate over five systems into a unified solution.

Achievements:

• Successfully designed and implemented hybrid multi-cloud solutions, integrating multiple cloud platforms (AWS, Azure) with on-premises infrastructure, using Site-to-Site VPNs, Firewalls, and Load Balancing.
• Led the migration of on-premises infrastructure to multi-cloud, multi-tenant infrastructure, resulting in 30% faster processing times.
• Migrated workloads from VMware and Hyper-V environments to cloud-based VMs, leveraging cloud-native services to optimize performance, cost efficiency, and scalability.
• Designed a multi-tenant Kubernetes platform leveraging the Kubernetes ecosystem, using Karpenter for dynamic EC2 node provisioning, KEDA for event-driven pod autoscaling (e.g., Kafka message lag), and Rancher for centralized monitoring of multiple clusters (EKS, AKS, or on-prem K8s), replacing Microsoft-centric Azure Arc management service.
• Designed and implemented Python-based FastAPI microservices as part of the EV core-backend on AWS EKS application layer, powering data ingestion and customer analytics pipelines.
• Developed asynchronous, event-driven APIs (Python-FastAPI) for real-time integration with CPOs, supporting OCPI 2.3 and OICP protocols.
• Designed and implemented a secure, production-grade Azure Databricks platform using Terraform, ensuring scalability and cost efficiency.
• Migrated on-premises ERP to a hybrid Dynamics 365 architecture with ERP hosted locally and CRM running in Azure, integrated via Azure Arc.
• Automated CI/CD pipelines for Databricks notebooks and jobs using GitHub Actions & Databricks CLI, reducing deployment time. Reduced infrastructure provisioning time by 70% by automating cloud resource deployment with GitOps.
• Ensured compliance with internal audit and data governance standards (GDPR) through OAuth2/OIDC-based authentication and fine-grained role-based access controls.
• Developed a Zero Trust security model, enforcing least-privilege access and microsegmentation, enhancing security posture and compliance with GDPR and NIST.
• Built interactive analytics dashboards in Amazon QuickSight, integrating data from S3 and Redshift to deliver real-time business insights and visualizations with embedded access for multi-tenant users.
• Led cloud security assessments and full-lifecycle cybersecurity integration during M&A, covering AWS, Azure, IAM (Entra ID), and data protection, while aligning security posture with NIST, ISO 27001, and GDPR across hybrid and cloud-native environments.
• Reduced cloud costs by 64% for a client's dev environment by implementing automated start/stop schedules for EC2 and RDS instances via AWS CDK with EventBridge Scheduler or AWS Systems Manager.

Tech stack:

• Infrastructure as Code: Terraform, AWS CDK, Ansible.
• Containers: Kubernetes on EKS, AKS, Docker.
• Streaming Data Processing: Kafka to Confluent Cloud, after AWS MSK.
• Frontend: TypeScript, React, NextJS, Hooks, Styled Components.
• Backend: Python with FastAPI, also Node.js with NestJS.
• Database: Aurora on PostgreSQL with TypeORM, RDS on SQL Server, Azure Databricks full setup and administration, ETL Pipelines.
• CI/CD and GitOps: GitHub Actions, Azure DevOps, ArgoCD.
• Monitoring and Observability: Prometheus and Grafana.
• Virtualization: Hyper-V, VMware Cloud on AWS, Azure Migrate.
• ERP Systems: Odoo, Microsoft Dynamics 365 Business Central on Azure, integrated with Azure Arc.
• Networking: Site-to-Site VPNs, AWS Direct Connect, Azure ExpressRoute, Firewalls (AWS Network Firewall, Azure Firewall).
• Security: IAM, NIST Framework, Zero Trust Security, AWS WAF, AWS Shield, GuardDuty.

• Improving processes in the purchasing area
• Digitizing purchasing processes
• Optimizing end-to-end manufacturing processes

• Built Collective Minds as an AI-first company, embedding AI into operating model, delivery and client solutions.
• Built and lead an international offshore delivery organization of 25 professionals, complemented by senior specialists in Germany.
• Act as Interim CDO for ALWITRA, supporting the company-wide digitalization agenda across ERP, CRM, enterprise knowledge, AI, data and operating model.
• Advise managing directors, CIOs and IT leaders on transformation strategy, target operating models, governance, prioritization and execution.
• Own program structures, budgets, staffing, vendor coordination, risks and executive stakeholder communication.
• Develop scalable technology and delivery models across AI, CRM, IAM, integration and manufacturing-related initiatives.

Evaluation, structuring, and handling of complex tenders for Sogeti as well as as part of larger Capgemini proposals. Focus on analyzing demanding customer requirements, deriving solid solution concepts, and translating technical, functional, and commercial aspects into convincing proposal storylines. In close alignment with delivery, sales, account, and bid teams, scalable and implementable Quality Engineering solutions were designed, evaluated, and prepared for customer decisions. This included selecting suitable role profiles and right-shore staffing options, assessing available skills and capacities, as well as the commercial preparation of reliable price and effort calculations.

A special focus was on bid management and handling service proposals (RfP/RfI analysis), solution design, presentation and management materials, as well as the functional and technical evaluation of customer requirements in the context of Quality Engineering & Testing, agentic AI-supported test automation using modern quality assurance approaches.

SOGETI projects:

• BMW: Development of a test strategy including test management, test automation, and provision of a rightshore delivery model.
• GEA: SAP Business Assurance and Quality Engineering for an SAP rollout including test governance, test automation, AI agent layer, and hypercare concept.
• AIXTRON: SAP S/4HANA Cloud migration explore phase with QA assessment, testable blueprint structure, staffing, and scalable Sogeti delivery approach.
• Deutsche Glasfaser: Quality Engineering & Testing for DG development squads, including ServiceNow and Salesforce, testing automation and governance.
• ERGO: RfP/proposal support for Managed Service Test Data Provisioning as well as a Jira/Atlassian rollout with assessment, target picture, MVP, rollout, and governance.
• Munich Re: Proposal and solution design in the insurance environment with a focus on test data provisioning, process analysis, compliance, and automation.
• BWI: Project/proposal context in the public/IT service environment with reference to Quality Engineering, Test Factory, and digital transformation support.
• Rolls-Royce: Proposal/project support in the Sogeti context with a focus on structured RfP analysis, solution design, and customer-oriented proposal preparation.

• Overall responsibility for strategic and operational procurement, Procurement Management (11 FTE).
• Further development of the procurement and procurement organization, including task and role model.
• Management of cross-functional special projects (e.g. value engineering, design-to-cost).
• Development and implementation of a holistic sourcing and procurement strategy with a focus on resilience, ESG, de-risking, decoupling and cost performance.
• Execution of a comprehensive procurement transformation with a new supply chain strategy alignment.
• Reorganization of the procurement team to improve efficiency through clear role allocation and relief from non-core and non-functional tasks.
• Professionalization of contract management processes and supplier development programs.
• Process optimization along the S2C and P2P chain, including standardization and automation in line with MDR (EU Regulation 2017/745), GxP compliance & quality management systems ISO 9001 and ISO 13485.
• KPI development and optimization of the KPI system for performance and efficiency measurement in critical paths and missing parts.
• Coaching the team in strategic procurement work, project management and procurement due diligence.
• Implementation of AI-supported tools for sourcing, spend analysis and inventory management to optimize inventory.
• Achieved inventory reduction of ~31% through professional inventory management.
• Management of two cost reduction (cost avoidance) programs with quantified results: ~50% reduction in manufacturing costs for one core component and ~64% reduction in material costs for the successor platform through redesign and category sourcing.
• Savings in the low double-digit million range versus the baseline.
• Material groups: contract manufacturing, PCBA, EMS, blower, silicone injection molding, power supplies, batteries, displays, hoses, masks, valves, foams, cables, sensors, wireless modules (2G–5G), telemedicine components, laboratory services.

• Introduction and anchoring of agile methods and mindsets in an interdisciplinary development team
• Coaching and training agile practices (Scrum, Kanban) in the context of a complex, data-based product
• Supporting and mentoring the product owner in prioritization, backlog maintenance and stakeholder communication
• Sparring partner for the product team in the further development of the product vision and strategy
• Supporting the conversion or new development of a provisioning and sales management tool
• Integration and coordination of the SAP, TYPO3 (PIM) and individual microservices systems in the backend