Software as a Service Experts in Hamburg

Goal: Future readiness and succession readiness

• Business model assessment: Conducting Business Model Canva workshops to assess the current business model and understand collaboration (3 areas)
• Systemic structural and cultural pattern analysis & role clarification: Conducting employee interviews to clarify responsibilities, interfaces, and decision-making logic in depth.
• Strategy operationalization: Breaking down the company's strategy, mission, and vision into concrete principles and operational goals that can be lived in everyday work.
• Establishment of a feedback system

• Onboarded and conducted comprehensive documentation and system analysis to assess the existing data infrastructure, facilitating rapid integration and collaboration across functional data teams (modelling, processing, reporting).
• Collaboratively defined the architecture and project structure for a central data pipeline repository, including hierarchical standards, knowledge management strategies, and role-specific responsibilities, enhancing maintainability and onboarding speed.
• Evaluated and validated open-source data routing tools (Airbyte, Apache NiFi, Dragster) for ingest and sync requirements in retail analytics, including local benchmarking and error-state testing.
• Led the design and deployment of Airbyte in Kubernetes, creating customized Helm charts, securing secrets handling, and configuring Ingress with TLS and internal DNS routing, ensuring full API and UI accessibility.
• Troubleshot and resolved Ingress controller issues, iterating through multiple stages of debugging and testing, and documented setup and replication steps for scalable reuse.
• Mapped data models to ARTS standard, supporting schema alignment for ERP and reporting use cases, and coordinated review loops to align future data processing logic.
• Drafted strategic 1-pagers comparing MinIO, Pub/Sub, and routing architectures, providing technical guidance for architectural decisions and investment planning.
• Enabled secure access and authentication mechanisms, including initial evaluation for SAML integration, cluster-level configuration reviews, and service annotation improvements.

• Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
• Defined time-based and dependency-based jobs
• Deployed to managed Kubernetes clusters using Helm
• Integrated InfluxDB Cloud
• Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
• Developed dashboards and visualizations in Grafana
• Developed unit tests with mocking using pytest
• Set up a CI/CD pipeline in GitLab

Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud

• Operationally focused investor targeting technology companies in special situations (ownership transitions, strategic restructuring, turnaround)
• Co-responsible for deal origination, transaction execution, post-acquisition integration, and operational value creation across the portfolio
• Led acquisition of esome advertising technologies and Kairion (carve-out from ProSiebenSat.1), including SPA negotiation, TSA management, and full integration workstream
• Acquisition of Floyt Mobility GmbH (billiger-mietwagen.de)
• Hands-on value creation: personnel cost reduction, GTM-reorganization, tech roadmap

• Developing a product vision and strategy

• Creating a roadmap

• Improving stakeholder communication

• Introducing an outcome-oriented roadmap

• Aligning with stakeholders and creating transparency

• Defining relevant product metrics as a KPI tree

• Initiating measures to improve product quality and measurability

• Supporting the introduction and migration of the new Identity Provider (IDP)

Providing executive marketing leadership for multiple clients across scaling B2B technology and B2C consumer brands. Driving growth through strategic marketing leadership, owning positioning, brand and go-to-market execution while building AI-enabled operating systems and company-specific frameworks that make teams faster, preserve institutional knowledge, and scale more effectively. Leading a full repositioning for B2B cybersecurity SaaS client, rebuilt the messaging architecture, ICPs, buying groups and defined a new go-to-market strategy spanning marketing and sales, including the go-to-market brand and market-facing presence

• Implementing AI-enabled knowledge and operational systems that improve execution, cross-functional alignment, and institutional knowledge retention

• Consolidating multiple separate brands for a B2C client into a single umbrella brand, with a new go-to-market strategy and operating setup behind it

• Brand modernization and digital growth strategy for a premium consumer brand, redesigning the brand architecture, customer journey, and e-commerce experience

• Establishing scalable content, marketing, and operating systems to support long-term growth and more effective execution

• Disciplinary and professional leadership of the IT and service team
• Definition and documentation of the Current Mode of Operation (CMO) in Confluence: application landscape, infrastructure, networks, backup & storage
• Development of the Future Mode of Operation (FMO) including process analysis & stakeholder interviews with all departments using BPMN and flowcharts
• Optimization of license management: reduction of ongoing software costs by approx. 17% p.a.
• Introduction and establishment of Jira as the central tool for project and service management
• Introduction and rollout of the HR software MindKey to digitize HR processes
• Introduction of a VoIP solution with Microsoft Teams incl. PSTN connection to replace classic telephony
• Introduction of the production and planning software OptiControl to digitize operational processes
• Rollout of Intune as a Mobile Device Management solution for Windows, iOS and Android
• Build-up of Power BI dashboards for machine park monitoring and financial reporting
• Planning and execution of the IT consolidation of two locations for 170 users
• Introduction of automated penetration testing with Pentera
• Coaching and mentoring the team in agile methods & project management
• Operational support in day-to-day business: administration, incident & change management
• Management of external service providers and assurance of the quality of outsourced IT services
• Responsibility for the IT budget incl. planning and controlling
• Direct reporting line to management with regular management reports on IT KPIs, budget and project status

• Industry: SaaS (Customer Success Management) – B2B

Comprehensive GEO implementation (Generative Engine Optimization) for a B2B CSM SaaS startup with a focus on AI Search Visibility and AI Citations in ChatGPT, Perplexity and Google AI Overviews – including a GEO workshop and a prioritized implementation roadmap.

• GEO Workshop & Roadmap: Conceptualized and delivered a GEO workshop (how LLMs work, AI Search Architecture, citation strategies); translated it into a prioritized implementation roadmap with impact/effort estimates
• Technical GEO Foundation: Robots.txt & llms.txt, Core Web Vitals & page speed, XML sitemaps for AI crawlers
• Schema & Structured Data: Gap analysis, implementation of Product/Service, FAQ, Article, Author and Organization schema, validation of coverage
• Content Architecture & GEO: Flat content architecture, topic clusters (pillar-and-spoke), 200–300 word chunks and answer-first content structure, E-E-A-T rollout through author pages
• Query Fan-Out & Prompt Anticipation: User prompt mapping, query fan-out, content gap analysis based on prompt coverage
• Citation & Backlink Strategy: AI citation analysis (news, Reddit, Wikipedia, listicles) and development of outreach and backlink strategies

Tools & technologies: Otterly.AI, PeecAI, Qforia (iPullRank), Schema Markup Validator, OpenAI Tokenizer, Prompt Coverage Monitor, ChatGPT, Perplexity AI, Semrush, Ahrefs, Framer CMS

Freelance work for a large German family office

Built and further developed a modular B2B SaaS platform for professional wealth management and family offices, alongside freelance delivery of production-ready AI, data management, and automation solutions for the wealth management sector.

• Developed an AI governance framework for regulated finance and asset management workflows, aligned with DORA, BaFin-related governance expectations, and data protection requirements, including role definitions, access levels, and decision rules.
• Designed an agentic system with a locally operated open-source language model, including Qwen2.5 via Ollama, for secure querying of an asset database through text-to-SQL-to-text workflows.
• Built AI-supported analysis and reporting capabilities that generate structured answers, tables, and charts from asset data, with domain validation through resolver logic and RAG elements.
• Developed production-grade data import workflows for financial service provider data from CSV, PDF, and API sources, including validation, plausibility checks, and reconciliation with existing asset data.
• Solved the asset matching problem without a cross-system primary key through multi-stage validation rules and human-in-the-loop approvals.

Results:

• Secured EUR 250,000 in SaaS revenue in 2024, exceeding the forecast by 20%.
• Acquired family office clients with EUR 1.6bn in assets under management.
• Reduced manual effort for the largest client by approx. 3 days per month through automated data import and reconciliation processes.
• Reduced operational error risk through structured data validation, multi-stage asset matching, and human-in-the-loop approvals.

I implemented a Zero-Trust architecture for robust, military-grade maritime container mini data centers based on VMware & Tanzu to support containerized GIS workloads for ground forces. The main focus was on securing communications, workload protection, and data access in contested electronic battle environments affected by jamming, interception, signal manipulation, and constantly changing operational conditions. I designed and architected use cases so that every element of workload, identity, and system could continue to operate independently and securely even in degraded or disrupted scenarios. In parallel, I defined the enterprise and solution security architecture with LeanIX, Bizzdesign, and HOPEX as enterprise architecture, repository, and governance platforms to maintain architecture inventory, relationships, traceability, target pictures, and security governance in complex environments. For the architectural designs, I used Sparx Enterprise Architect to describe formal architecture views, interfaces, trust boundaries, and system architecture in both IT and OT environments. IriusRisk was used for threat modeling of the solution to identify architecture-driven risks, derive security requirements, and detect countermeasures and design gaps directly from the solution models. Risk and compliance management was supported with Archer. Architecture decisions, control gaps, and operational risks were translated into controlled governance and auditable compliance measures. For documentation, collaboration, and visual design, I used Confluence to maintain Architecture Decision Records, Security Blueprints, and workflows. I used Lucidchart and draw.io to create design artifacts tailored to stakeholders. I also defined OT security concepts with support from electrical and mechanical engineers in the areas of oil, vehicle onboard systems, rail, power plants, pharma, gas turbines, and nuclear technology. I created the end-to-end OT security strategy, starting with global policy, developed into standards and procedures, and finally aligned with Bell-LaPadula, Purdue Model, SABSA, TOGAF ADM, CENELEC 50701, IEC 62443, and NIST standards. In addition, I worked with engineering team leads to identify critical KBP assets and place them under protective measures that segmented SCADA, PLC, and HMI assets. I drove collaboration between Security, IT, and OT teams to create standardized workflows and use cases for the OT security solution catalog, while integrating Defense-in-Depth and Zero-Trust principles into operational environments. A key part of my work was integrating multidisciplinary engineering, security, and operations stakeholders into a unified security blueprinting strategy and ensuring that architecture, threat modeling, governance, and documentation were technically strong and operationally practical.

• Successfully completed a 3.5 month data science course, earning the ‘Certified Data Scientist’ title from XDi, Germany (AZAV certified).
• Covered supervised and unsupervised machine learning algorithms.
• Covered natural language processing using Python.

I help marketing teams and leaders get from data to decision - understanding their business model, defining what to measure, and building the tracking and reporting infrastructure to make it happen.

• Built and optimized analytics setups for 60+ clients across D2C, E-Commerce, SaaS, LeadGen and Subscription businesses in my career - from early-stage startups to enterprises
• Core focus: GA4 & GTM tracking architecture (incl. server-side), consent-compliant measurement, marketing dashboards (Power BI) and attribution
• Trusted long-term partner: most client relationships extend well beyond the initial project into ongoing strategic and operational support (NPS > 9.4)
• Regularly act as analytical sparring partner for marketing leads and C-level stakeholders, bridging the gap between data, tech and business strategy

• Atlassian & Business expert
• Lead of 1st, 2nd and 3rd level support, process mapping, process optimization, introduction of a project standard (global user management and documentation) and development of a collaboration platform to optimize teamwork, data management, reporting, ERP transformation
• The client is a sustainability-focused chemical park and offers its employees a full service for the Atlassian product suite. In addition, the adoption of the ERP software by employees, the improvement of data quality and internal exchange or collaboration should be promoted by sharing knowledge and best practices
• Process and standards development
• Project configuration and creation of technical concepts
• Workshops with employees
• Development of scalable solutions and processes and their optimization/automation
• Coordination with department process owners and management
• Process mapping and further development
• Data migration and data mining
• Lead as Scrum Master
• Dashboard for project management with project overview / development of reporting structures

• Full-stack development of a customizable SaaS platform for the real estate industry
• Running domain discovery processes to gather business requirements and derive technical specifications
• Designing and implementing core features based on a Remix MVC architecture with TypeScript, Node.js, and PostgreSQL
• Focus on usability, extensibility, and high scalability of the platform