Google Workspace Experts in Germany

Developed the product vision and outcome strategy for a new registry platform, designed a management workshop for strategic alignment, conducted BPMN process mapping across systems and roles, analyzed user story practices and further developed them on an outcome basis, and brought together stakeholders from business departments, management and the external development partner.

Skills: Product Strategy, Outcome Roadmapping, Stakeholder Workshops, BPMN/Process Analysis, Miro, Linear

Building a company to "support people over 50 as they start a new career"

Focus: "AI first" approaches to establish all relevant processes reliably in the shortest possible time

Core areas:

• Business development (including competitor monitoring, channel selection, B2B and B2C strategies)

• Marketing (building and optimizing funnels, organic and with paid ads)

• Sales (direct B2B and B2C outreach resulting from marketing funnels)

• Fulfillment (platform and process development, AI optimization)

• Product management (developing the offering and MOAT)

• One-to-one coaching and mentoring, platform development and operations

• Wrote the book chapter “Entwicklung eines digitalen Geschäftsmodells” for the Springer Gabler collection “Praxishandbuch Digitales Management”.

Stabilization of a critical logistics outsourcing setup in the context of an SAP S/4HANA transformation. The focus was on restoring a reliable operational fact base between the client, logistics service provider, international supplier plants and the SAP/IT organization.

• Coordination between the client, global logistics service provider, international supplier plants, SAP/IT teams, Quality Management and the operational shop floor.
• Management, monitoring and operational correction of Inbound Deliveries; integration of Outbound Delivery processes.
• Analysis of interface, posting, batch and master data errors between SAP S/4HANA, logistics service provider, supplier plants and internal business functions.
• Significant reduction of critical inventory differences between the client and logistics service provider.
• Improved operational management capability in the logistics environment and creation of a common fact base.
• Reduction of recurring error patterns in the areas of Inbound Deliveries, inventory, interfaces, batch/posting logic and service provider processes.

• Prepared and reviewed quarterly royalty settlements for licensors across music, publishing and media brands, including minimum guarantees, recoupment, returns reconciliation and process optimisation.
• Reconstructed historical licensing data for an external audit by a major US studio, covering music publishing and recorded music across ROW and AUS, and coordinated the resulting statements with the licensor.
• Supported the reconciliation of music royalties with the German collecting society and its international hub for 2018 to 2024.
• Assessed licensing data for accruals and provisions, and structured metadata for contract negotiations.
• Designed target processes and SOPs for a royalty automation tool and accompanied testing during rollout.

Non-custodial staking and digital-asset infrastructure for Web3 wallets, exchanges, and institutional custodians

Advised the COO on delivery for staking and digital-asset infrastructure serving institutional custodians, exchanges and wallets across regulated markets.

• Ran the company-wide KPI and OKR process across the organisation, raising company-wide OKR achievement from 50% to 65%.
• Designed and implemented OKR/KPI frameworks enabling structured quarterly delivery cycles and executive-level execution visibility.
• Defined, documented and improved the P2P governance and operating processes across programmes and operations.

• Industry: Insurance, Trade, IT
• Customers & Projects: Consulting and selling insurance and similar services
• Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
• Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports

• 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.

• Business area: Automotive / Exteriors
• Responsible recruiter for all plant areas (Technicians, Operators, Engineers - Blue and White Collar)
• Supporting central Talent Acquisition with manager and back-office positions
• IT/HR systems: Successfactors, SAP HCM
• Preparing reports on recruiting activities and maintaining and customizing the applicant tracking system (ATS/HRIS)
• Conducting telephone and virtual interviews for an initial assessment of candidates
• Preparing and publishing job advertisements on internal and external platforms to attract candidates
• Supporting candidates from the application process through contract preparation
• Actively approaching and attracting candidates via various business platforms (e.g. LinkedIn, XING, Stackoverflow)
• Supporting department heads in selecting suitable candidates and optimizing interview processes
• Employer branding and personnel marketing
• Advising HR management on all matters relating to the recruiting process and strategic talent acquisition
• Reviewing and evaluating applications as well as organizing and moderating interviews with the departments

• Responsible for the backlog and roadmap of a production SaaS compliance platform for the EU Deforestation Regulation (EUDR), with around 30 customers on AWS and Docker.
• Coordinated feature development and API integrations across 2 external and internal development teams.
• API integrations with the EU EUDR API and SAP.
• 70% fewer customer-reported issues, supporting ISO-27001 certification.

As an experienced designer and leader, I have a deep understanding and experience in UX Design, User Research and the corresponding processes and methods.

This enables me to lead the delivery of UX projects end-to-end in interdisciplinary setups. A history of complex project-environments enable me to get familiar, navigate and create impact in new contexts and challenges quickly.

• Concept, interaction and UX for XR experiences for the automotive industry
• Optimizing XR experiences
• Building experiences with AI

Multi-Agent Document-Generation Platform

Problem:

Turn a single prompt into a well-researched, structured and cited document, while keeping the user in control: every stage can be reviewed, corrected or revisited before the system moves on.

Architecture:

A multi-agent system orchestrated by a central controller. More than 20 specialised pydantic-ai subagents (understanding, structuring, planning, research, writing, assembly, cross-reference check, glossary, citation, reference table and more) pass results forward through a shared plan persisted in Postgres (asyncpg); a runner layer dispatches each task by name to its agent, and mechanical steps such as formatting, table of contents and list of figures are deterministic code instead of LLM calls. Provider (Anthropic or OpenAI) is a configuration setting, and responses stream over Server-Sent Events.

Hosting & Infrastructure:

Stateless container run as a Scaleway Serverless Container on a private network with managed PostgreSQL, object storage for finished documents and assets, and centralized log shipping (Loki / Scaleway Cockpit), provisioned with OpenTofu modules and deployed through GitLab CI; usage is metered per API key.

My Contribution & Key Decisions:

• Central decision controller: a satisfaction classifier turns the user's free-text feedback into a verdict (keep working, advance, cancel or revise an earlier task), and a middleware applies it to the plan. Plan progression supports jumping back to earlier tasks and re-running the stages after them.
• Research and writing fan-out: planning produces a plan from which a research-design agent generates individual research tasks and a writing-design agent generates individual writing tasks, each linked to the research it needs. Every task runs in its own dedicated agent with its own conversation history.
• Self-review and human-in-the-loop: after each step a critical-thinking agent reviews the output; the user can accept, refine, or ask questions about a critique before the plan advances.
• MCP integrations: two remote MCP servers, web search and internal document search, connected through pydantic-ai with retries and long-running tool-call timeouts. Classifier agents decide per task whether web search is needed, and a small model condenses raw search results into structured findings before they reach the writing agents.

Usage Metering:

Clients authenticate with an API key validated against a key-management service; consumption is charged in credits calculated from token usage per model plus a markup, and exhausted quota is answered with HTTP 429.

External communications, stakeholder and project management for the introduction of the new DGP business platform myDATEV (SaaS/Cloud)