Enterprise Architect

7/2025 – offen

- Enhancement of the Software & Service Company Capability Map and related architecture artefacts
- Continuous refinement of enterprise capability mapping to ensure strategic alignment between business and technology domains.
- Development of Software & Service Company value streams and corresponding architecture artefacts
- Design and optimization of value streams to strengthen end-to-end process transparency and support digital transformation initiatives.
- Advancement of processes, process scenarios, and associated architecture artefacts
- Modelling, harmonization, and improvement of business processes to increase operational efficiency and architectural consistency.

Contribution to the creation of the Architectural Runway
Active involvement in defining and maintaining the architectural foundation required to enable future business epics and solution increments.

Contribution to the setup of the Enterprise Architecture Toolchain (EA Toolchain)
Design and implementation of an integrated architecture toolchain to enhance traceability, governance, and collaboration across architecture domains.
- Integration and visualization of Business Architecture artefacts in alignment with other architecture domains within the EA Toolchain
Establishment of a coherent architectural landscape by linking business, application, data, and technology artefacts across the EA ecosystem.
- Continuous improvement of Business Architecture documentation
Ensuring comprehensive, consistent, and accessible documentation standards for business capabilities, value streams, and architectural dependencies.
- Further development of implementation governance and architecture change management
Strengthening governance frameworks and change management processes to ensure architectural compliance and agility.
- Support in evaluating optimization potential and driving required changes
Assessment of improvement opportunities and orchestration of corresponding architecture-driven initiatives.
- Sytems: EA Sparx, Signavio, LeanIX

Datenarchitekt, Enterprise Architect (EA), Software Architecture

1/2025 – 6/2025

Interim role within a group-wide digital transformation program
Designed and implemented a group-wide enterprise architecture framework (TOGAF-based) across all CWS European subsidiaries
Established the Enterprise Architecture Board to align IT strategy with business priorities across Sales, Service, Logistics, and Finance
Led a cross-functional organization of 95+ professionals in architecture, development, CRM/ERP, data, and user experience
Drove the architectural design and rollout of a pan-European direct eCommerce platform, integrating Salesforce, Shopify, and Microsoft D365 F&O
Designed the target architecture for different systems
Led AI-based data analytics initiative for logistics and route optimization, increasing OTIF (On-Time-In-Full) delivery from 83% to over 95%
Introduced architecture governance processes for ERP/CRM harmonization and data integration across 10+ countries
Acted as interface to shareholders strategic leadership team, contributing to multi-brand IT consolidation and shared service design
Key technologies: Microsoft D365 F&O & CRM, SAP FI, Salesforce, Shopify, Azure Cloud, google Gemini, REST APIs, Distributed Systems

Enterprise Architect (EA), Logistik (Allg.), Microsoft Dynamics, Microsoft Dynamics Crm, Salesforce.Com, SAP-Berater, SAP Beratung (allg.), Software Architecture

2/2024 – 12/2024

Client Context:
A company providing recurring product deliveries across Europe faced critical inefficiencies in its German customer service operations. A backlog of over 15,000 unresolved service cases and slow response times jeopardized customer satisfaction and operational efficiency.

Challenge:

Severe backlog of 15,000 service cases in Salesforce

Inefficient manual categorization and routing of requests

Incomplete and inconsistent data across systems

No effective integration between Salesforce (Service) and D365 F&O (Operations)

Lack of automation and limited IT support for key service processes

Approach & Solution:

Process Analysis: Mapped and analyzed the end-to-end service handling process

Data Engineering: Cleaned and synchronized customer and transactional data across Salesforce and D365 F&O

System Integration: Closed the integration gap between systems to enable end-to-end visibility

AI Case Classification: Selected Google Vertex AI, developed and trained ML models to classify and route service cases automatically

GDPR Compliance: Tokenized all personal data to ensure privacy and legal compliance

Stakeholder Alignment: Convinced executive board of strategy, ensured cross-departmental buy-in, and led implementation

Results:

Backlog reduced from 15,000 to 1,500 cases

Average case resolution time reduced from 5 business days to 1

Customer service staffing requirements reduced by 35% through intelligent automation

Tech Stack:
Salesforce Service Cloud, Microsoft Dynamics 365 F&O, Google Vertex AI (ML Ops & NLP), Python, Azure Integration Services

My Role:
Led the project from strategy to execution: conducted root cause analysis, designed the target solution architecture, selected and applied AI tooling, secured executive sponsorship, and orchestrated implementation across business and IT teams.

Cloud Spezialist, System Architektur, System Design