IT Business Analyst

• BSS system implementation for B2B / transformation of the central B2B system landscape
• End-to-end business responsibility for defining, structuring and prioritizing key B2B business processes as part of a complex BSS transformation.
• Work in an agile, SAFe-like setup with multiple teams involved, along with regular coordination with business, IT, solution design and architecture.
• Translation of business requirements into implementable epics, features, user stories, process models and acceptance criteria as the basis for technical implementation.
• Close collaboration with solution design and architecture to assess technical dependencies, interfaces, data flows and system impacts.
• Management of target process design as the basis for implementation in Infonova BSS.
• Interface management between business departments, IT, architecture, development and operational units, including facilitation of cross-functional workshops.
• Ensuring process consistency, governance, decision-making capability and business acceptance as part of the system implementation.

• Planning, implementation, and rollout of 7 eGov services for companies and job seekers for the Unemployment Insurance Fund (ALV)

• Analyzed, structured and prioritized complex business, user and stakeholder requirements for a business-critical limit and risk system.
• Translated business requirements into clear, actionable product specifications, backlog items, user stories, acceptance criteria and end-to-end scenarios.
• Moderated structured workshops and refinements with business teams, Product, Engineering and QA to clarify complex requirements and develop business and technically feasible solutions.
• Optimized requirements, testing and quality processes, including automation, data quality and CI/CD-related workflows.
• Discovered, structured and assessed AI/GenAI use cases in terms of user and business value, data foundation, technical feasibility and potential capability impact.

• Conducting analyses and presenting options
• Process analyses
• Creating requirements specifications for tenders (government environment including EU projects)
• Creating specifications for software developers (agile and traditional environments, from Software Requirements Specifications to User Stories)
• Managing development teams
• Taking on the Product Owner role
• IT consulting with a focus on business analysis, processes, work methodology, and standards

• Product Analytics, Mobile App Tracking & Tracking Governance (B2C Mobility App) – agile project management (Scrum/Kanban)
• Product Ownership for Product Analytics and Mobile App Tracking of the EnBW mobility+ app; gathering, prioritizing, and translating business requirements into actionable concepts and Azure DevOps user stories with acceptance criteria.
• Derivation of tracking requirements when introducing new app features (including Resilient Map), definition of tracking parameters (screens, events, custom definitions), and ensuring privacy-compliant tracking (Firebase, GA4, Adjust) based on the tracking concept.
• Design and adaptation of dashboards and funnel reporting for campaigns (GA4 validation, onboarding and order flow analyses, conversion funnels, charging start flow) to identify drop-off points and optimization potential.
• Management of the technical raw data export (Adjust to BigQuery) and connection to the data warehouse/data lakehouse, including data mapping; collaboration with international development teams, Data Engineering, Marketing/Sales, and Product Management.
• Establishment of standardized tracking architecture, naming conventions, and governance; analysis and expansion of tracking (new features and “blind spots”), test design, handover to testers, and quality assurance and approval before releases; documentation in Conceptboard.

• Managed the backlog for Financial product in Data Warehouse Systems, prioritized features, and aligned development efforts with business goals and financial reporting needs
• Defined the product vision and roadmap in collaboration with stakeholders and technical teams
• Delivered complex financial solutions supporting IFRS-compliant revenue recognition, budgeting and forecasting frameworks
• Facilitated cross-functional collaboration with finance, development, architecture, business owners, and executive management
• Translated business needs into clear specifications and functional designs, ensuring accurate implementation
• Led data governance initiatives to maintain integrity, consistency, and compliance
• Oversaw and conducted Agile ceremonies including backlog refinement, sprint planning, daily stand-ups, and retrospectives
• Coordinated and executed User Acceptance Testing (UAT) to validate business requirements and ensure smooth adoption
• Applied Agile Scrum methodologies using Jira and Confluence to manage delivery and documentation.

• Development of a production-ready Enterprise AI solution for the automated processing of invoices and business documents
• Integration of Azure AI Document Intelligence and LLM technologies into existing business processes
• Development of robust REST APIs for automated document processing and system integration
• Extraction, validation, and storage of structured invoice data in Azure SQL as a base for analytics and machine learning models
• Development of an AI-based recommendation engine with machine learning and deep learning to generate personalized product recommendations based on historical purchase data
• Implementation of logging, monitoring, error handling, and validation mechanisms for stable production use
• Collaboration with business teams to define business rules and integrate the solution into existing enterprise processes

Technologies: Python, Azure AI Document Intelligence, Azure OpenAI, Azure SQL Database, REST APIs, Machine Learning, Deep Learning, OCR, Pandas, JSON, Workflow Automation

• Client: Prime Force Group GmbH

Technologies used: Java 25, Spring Boot 4, MapStruct, JSpecify, PostgreSQL, Redis, Liquibase, REST/OpenAPI, Apache Kafka, Apache Solr, OpenID Connect via IronGate/Keycloak, SAP Customer Data Cloud, JUnit, Testcontainers, Karate, Playwright, GitLab monorepo with CI/CD, Jenkins, JFrog Artifactory, FluxCD, Docker, Kubernetes on Azure, OpenTelemetry, arc42, Jira, Confluence

The Team Management Center is the new central platform of the DFB for planning, managing, and carrying out team activities for the national teams - from squad selection and training camps to communication with players, clubs, and legal guardians. The platform is designed for multi-tenancy for the DFB and regional associations; player, club, and master data are intentionally not copied, but connected at runtime via the DFBnet APIs.

I have been involved in the project continuously since the architecture and concept phase (Sprint 0) and work in a distributed Scrum team in two-week sprints. In addition to implementation, my focus is on architecture alignment, connecting the DFBnet interfaces, as well as code reviews and test automation as quality assurance in the team.

Focus areas:

• Development and implementation of the multi-tenancy concept (tenant model for the DFB and regional associations), including data model, access layer, and Liquibase migrations.
• Design of the person service and the search concept based on Apache Solr.
• Integration of the DFBnet APIs (player, person, and club search, club data), including authentication and synchronous master data synchronization.
• Hardening the integration through resilience patterns: separate read timeouts for each search path, correction of circuit breaker counting, limiting parallel requests, and a club cache to reduce load on the external system.
• Development of self-service endpoints for players (own activities, activity details, games), including an access concept for participants, as well as person documents and file uploads.
• Standardization of API design: OpenAPI annotations, nullability model via a custom ModelConverter, JSpecify migration of the DTOs, and documented API guidelines.
• Build and maintenance of Karate-based API and integration tests, integration tests with Testcontainers, test guidelines, and bug triage from the integration and reference environments.
• Code reviews via merge requests, architecture documentation according to arc42, and architecture decisions (ADRs) in Confluence.
• Automated deployment to the integration and reference environments, analysis of login and OIDC issues in combination with IronGate.

Status: ongoing - as of 08/2026 in Sprint 17, around 940 person hours worked; testable delivery to the integration environment every two weeks.

Implementation of complex ERP projects with Business Central Expertise in Sales/Purchasing, SCM, Manufacturing, Warehousing, Logistics Project management, business analysis, development Taking over failed projects, support Setup/implementation of interfaces Power framework: Power Apps, Power BI

What I do not do: CRM, D365 Sales, D365 F&O, D365 Finance or SCM, SAP, etc.

• Designed and developed a multi-tenant SaaS platform enabling organizations to build their own knowledge bases and chat with brand-customized AI assistants (white-label approach with dynamic branding per organization).
• Implemented a scalable RAG architecture with a GPT-4o tool-use loop, hybrid semantic search, and strict tenant isolation at database and search index level.
• Built persistent, project-like chat sessions including a streaming API (SSE), multilingual support, and speech input/output (STT/TTS).
• Delivered the cloud infrastructure as Infrastructure-as-Code, fully automated per-customer CI/CD pipelines, and an onboarding process for new tenants.

Technologies used: Python, FastAPI, Pydantic (v2 noted), Next.js, React, TypeScript, Tailwind CSS, OpenAI / LLMs (GPT-4o), Azure AI Search, Cosmos DB, Azure Blob Storage, Azure Cognitive Services Speech, Azure App Service, Azure Container Registry, Retrieval-Augmented Generation (RAG), Server-Sent Events (SSE), Docker, Terraform, GitHub Actions, REST, OpenID Connect (OIDC), Multi-Tenancy

• Preparation of S/4 HANA for utilities

• Integration of medical modalities (including ultrasound) into the existing IT infrastructure (DICOM, HL7) – put into operation within the planned timeframe.
• Administration and optimization of PACS systems for efficient archiving and distribution of radiology image data across multiple locations.
• Ensuring consistent data quality and seamless interoperability in data exchange between HIS, RIS, and PACS.
• Close collaboration with medical staff to analyze and digitally optimize clinical workflows.
• Requirements management and test coordination when implementing clinical requirements in complex IT structures.

• Senior IT Transformation Consultant and Business Analyst with a focus on banking and large-scale transformation projects.

• Many years of experience in analyzing, structuring, and implementing business requirements, as well as designing target states in complex IT landscapes.

• Strong interface skills between business and IT, with a focus on translating business requirements into workable IT concepts and architectures.

• Solid experience in designing and improving end-to-end processes, as well as creating business concepts and decision papers.

• Proven project success in the areas of Identity & Access Management (IAM), post-merger integrations, IT infrastructure, and regulatory requirements.

• Confident in working with agile methods and artifacts.