Berlin, Berlin, Germany
As a data & AI leader, I focus on building enterprise-wide capabilities that transform organizations, aligning data strategy with business growth and cultural change. Enterprise impact: Directed a greenfield data & analytics program that generated over €5M in new value within 18 months, scaling data-driven decision-making across business units. Strategic leadership: Developed and executed data strategies that integrate governance, cloud modernization, and AI-driven innovation — ensuring long-term business alignment and measurable ROI. People and culture: Built and scaled high-performing teams of data scientists, engineers, and analysts. Instituted coaching-driven leadership that increased retention, accelerated adoption of analytics, and embedded a lasting data culture. Scientific authority: PhD in Visual Analytics with 10+ international peer-reviewed publications; uniquely positioned to translate advanced research into practical, scalable solutions. Industry presence: Speaker or panelist at, e.g., TDWI, Business & Data Intelligence Minds, Data Masterclass Europe, shaping dialogue on data culture, AI governance, and the future of analytics. My mission: enable organizations to treat data not as a byproduct, but as a strategic asset that drives competitive advantage, innovation, and long-term value creation.
Shaping the data & ai landscape of DB procurement.
Program lead of big data & analytics initiative to take the next step towards data-driven procurement at Deutsche Bahn ● cross-functional program involving 15+ business units, core team up to 20 people ● established procurement data lake with 40+ billion records ● 35+ use cases ● 7-figure business value generated, 10+ times faster analyses ● exemplary use cases: optimization of price scales, 360° view on suppliers, supplier cartel screening etc.
Systemisches Coaching für Führung und Veränderung. Souverän führen, klar entscheiden, Mensch bleiben.
Analytical optimization of content marketing campaigns
Combining machine learning and interactive visualization to extract knowledge from big geodata ● design of an interactive visual interface for GeoMultiSens (a remote sensing big data processing platform) ● design of an analysis tool for large spatiotemporal point cloud data ● user-centered design and requirement analysis ● supervision of interns, students, Bachelor and Master theses ● presentations at international conferences
● development of innovative Visual Analytics approaches for pattern detection in spatiotemporal data, evaluation of simulation model output, and comparison of time series ensembles ● integration of clustering, machine learning and statistical methods with interactive visualization ● user-centered design and requirement analysis ● coordination of project teams consisting of computer scientists, geoscientists, and students ● publication of articles in international computer science journals and presentations at international conferences