Generative AI Experts in Frankfurt

• Hands-on development of AI-native product prototypes with specialized AI agents for research, requirements, business logic, UX/flow design, test case generation and quality assurance.
• Structured use and orchestration of AI agents through clearly defined roles, inputs/outputs and handover points; breaking down complex product tasks into verifiable work packages and iterative prototyping cycles.
• Establishment of human-in-the-loop quality gates to validate AI-generated results for functional correctness, consistency, completeness and feasibility; targeted rework cycles in case of deviations.
• Development of a regulatory GenAI/rules prototype for CRD VI with a structured decision flow, web UI, rule-based validation and automated test cases; iteration of the business logic through to a pilot-ready POC.
• Design of an AI-to-Action banking prototype: AI intent → consent → bank/product logic → conversion including admin console; translating the product idea into MVP scope, role model, user flows and clickable prototypes.

Design, development, and market launch of digital products and platforms – from strategic alignment and agile implementation to Go-to-Market and Go-Live, integrating AI into processes and products

Further development & digitalization of key sales and application processes in a regulated banking environment, including requirements structuring, roadmap development and AI-supported use case assessment

Responsibilities & Impact:

• Management of existing digital products to ensure stable operations (Keep the lights on) amid growing regulatory complexity
• Product vision and development of a consistent, implementable roadmap
• Strategic backlog prioritization based on business goals, dependencies and technical feasibility
• Coordination of release planning, backlog, quality assurance and go-live readiness with business departments, IT, implementation teams and management
• Identification, structuring and assessment of AI-supported use cases at the interface of business departments, IT and the regulatory environment
• Analysis, structuring and translation of complex business requirements into epics and user stories
• Facilitation of team, stakeholder & alignment formats to ensure clarity of objectives, collaboration and decision-making ability
• Transparency on capacities, dependencies, delivery status and KPI/status aspects as a basis for product & management decisions
• Compliance with transparent structures and documentation (LeanIX, application profiles, runbooks)

Contribution to results:

Stabilization and further development of key financial processes under high regulatory and technical complexity. Improved transparency, decision-making ability and implementability through structured requirements, auditable documentation and AI-supported ways of working.

• 100% Remote | Germany & Europe
• Freelance and interim support in talent acquisition, recruiting and executive search
• Flexible and short-term support for companies during recruiting peaks, temporary resource shortages and project-based talent acquisition needs
• Fast assumption of operational recruiting responsibility through many years of experience in in-house recruiting, RPO and recruitment consulting
• End-to-end recruiting from requirements analysis through active sourcing, direct search and interviews to selection, offer management and onboarding
• Targeted support for hard-to-fill positions through active sourcing, direct search and executive search
• Advising HR and hiring managers on recruiting, sourcing and hiring strategies
• Support with recruiting process optimization, standardization and further development of existing recruiting processes
• Independent management of parallel vacancies and recruiting projects with a short onboarding period and a high degree of operational independence
• Project-based engagement without long-term headcount expansion – 100% remote and flexible in Germany and Europe

• Presentation introducing generic A.I. and Large Language Models
• Explanation of legal frameworks (EU AI Act, US CLOUD Act, DSGVO)
• Systematic review of AI tools along the SDLC and holistic systems
• Comparison of on-prem LLMs vs. cloud-based solutions, as well as change management and works council considerations
• Moderation of the discussion and definition of next steps for introducing AI development tools

• Concept and UI design for cloud-based banking platforms and SaaS loan process automation, including AI-supported document validation.
• UX optimization of the loan application flow, expansion of the design system, and building a scalable white-label solution.

• In my current position, I have end-to-end responsibility for AI products: from identifying and prioritizing use cases, developing sound business cases, AI roadmaps, and capacity and resource allocation, through to scalable implementation across countries and business areas.

• I design operating models, delivery standards, and operational concepts that ensure AI product development runs reliably and scales sustainably – always aligned with strategy, goals, capacities, and business value.

• Leading and developing interdisciplinary teams of data science and product professionals in an agile working model is a core part of my role – I currently lead a team of three employees.

• I am confident in stakeholder management at senior management level and in international structures, and translate complex technical topics into clear, business-oriented recommendations for action.

• I consider governance from the outset: I consistently align AI initiatives with regulatory requirements (including the EU AI Act), risk management, and data protection requirements.

• Spearheaded the development and deployment of a Generative AI solution tailored for the automotive industry focusing on improving customer experience through AI-driven innovations.

• Conducted in-depth market research to understand unique challenges and opportunities within the automotive sector by analyzing industry trends, customer pain points, and competitive offerings to inform the product strategy.

• Formulated a strategic vision for the Generative AI solution targeting personalized customer experiences, aligned product vision with the company’s long-term goals and automotive market demands.

• Enhanced customer satisfaction by introducing personalized AI-driven features, achieving a 15% increase in customer engagement and loyalty.

• Attended and represented Audi AG on a group-wide level in workshops for AI strategy for customer experience.

• Leveraged knowledge of recurrent neural networks and transformer architecture.

• Utilized GPT-3 generative AI frameworks.

• Employed TensorFlow and PyTorch for machine learning.

• Used Tableau from Salesforce for data analysis and visualization.

• Served as solution manager for the Business Architecture team.

• Collaborated with business stakeholders within Audi OEM to gather requirements for CRM strategy including marketing department, CRM heads across countries, VW group brands and CARIAD SE.

• Represented Audi AG in CRM strategy workshops held in different countries.

• Discussed CRM strategy with head of CRM and Data based on workshop outcomes.

• Conducted business analysis on gathered market data to improve customer experience.

• Planned and launched marketing campaigns such as welcome mailing, license renewal reminders, Audi Progress Circle and Black Friday campaigns.

• Managed project budget.

• Acted as solution manager for the ONE.CRM team at CARIAD SE on loan from Audi AG.

• Collaborated with business owners of VW group brands to develop a central solution.

• Represented CARIAD SE in CRM strategy workshops in Spain, France and Italy.

• Discussed CRM strategy with head of CRM at CARIAD SE based on workshop outcomes.

• Conducted business analysis on market and brand data to improve customer experience.

• Planned and delivered campaign capabilities from template to brands such as welcome mailing for Audi AG, SEAT and SKODA.

• Managed project budget together with head of CRM.

• Goal: Development and optimization of loyalty and CRM measures for a leading e-commerce platform
• Solution: Identification of promising users, increase in engagement, and long-term retention to drive revenue growth
• Definition of local CRM direct communication for specific segments
• Translation of research insights into actionable recommendations
• Planning and implementation of CRM campaigns in close collaboration with marketing and product teams
• Identification of optimization potential in direct communication
• Collaboration with external agencies on creative solutions, prototyping, and UAT
• Measurement and reporting of key KPIs

• Built an API to ingest, clean, translate, and index EU tenders documents in Neo4j, enabling hybrid search with RAG and Cypher queries via a Streamlit dashboard
• Deployed the API on AWS Lightsail container services with CI/CD automation via GitHub Actions, ensuring stability through pytest unit and integration tests
• Designed and developed a comprehensive online course on data analysis using ChatGPT for professionals and learners, creating instructional videos and interactive Jupyter notebooks
• Utilized OBS and professional audio equipment to ensure high-quality video and audio content
• Led a CRM data normalization and cleaning project visualized via a Sankey diagram to aid customer understanding and pipeline development
• Implemented and validated a genAI-driven web crawling strategy on AWS, ensuring data quality, scalability, and CRM data augmentation

• Business consulting, interim management, and coaching
• Independent acquisition and delivery of consulting projects in the areas of strategy & innovation, processes, organization, and business transformation

• Introduction of a new workflow tool for Fibre Connectivity & Broadband Delivery
• Requirements design, estimation and prioritization
• Creation of rollout and project plans
• Management of the development team according to Scrum
• Design and project management of the API interface to existing tools
• Process modeling for the new Order Dispatching team (FCD & BD)
• Design of processes within and outside the team
• Requirements design and implementation of the necessary tools
• Creation and calculation of production KPIs

AI-powered platform for automated UX validation and designer support

• Designed and led technical implementation of an enterprise-wide AI solution for automated UX review that improved design quality and significantly reduced manual review processes in teams
• Developed an automated UX validation tool as a Figma plugin and web application that generates test cases based on internal guidelines and reliably checks current designs for consistency and standard compliance
• Implemented an interactive designer chat based on RAG that answers questions about the current design and the company's UX guidelines, and designed the deployment architecture using containerized services
• Python, Azure OpenAI, PostgreSQL, REST API, Docker, OpenShift, Helm, CI/CD, Figma MCP, LLM, RAG, Prompt Engineering, GenAI, XAI, AI Architecture, AI Strategy

• Ensuring the overall project goal with the Product Owner
• Onboarding a new service provider, including sourcing and contract negotiations with relevant stakeholders (e.g., procurement, legal)
• Implementing and executing the necessary governance processes
• Integrating new extraction software/GenAI tools to improve data extraction and processing within a document management workflow
• Ongoing agile management of deliverables, including building the project organization and controlling time, quality, and costs in the context of the overall project
• Sub-project organization, especially requirements management, structuring, agile planning, and prioritization
• Organizing and optimizing workstream communication for an end-to-end process
• Facilitating and leading meetings and workshops
• Change management consulting through targeted influence, coaching, and incentive systems