Munich, Bavaria, Germany
As the Head of Capgemini's Generative AI Accelerator, I bring over two decades of experience in driving transformation across industries such as health, life sciences, automotive, and IT. Dedicated to sustainable and human-centric data value creation, I lead interdisciplinary teams to incubate generative AI innovations, inspire AI-driven business growth, and unlock data’s full potential. My role is centered on scaling AI integration to deliver trustworthy end-to-end solutions that empower organizations to shape the future they envision. Throughout my career, I have prioritized innovation, collaboration, and digital sovereignty. I serve as a Supervisory Board member for the TIRAMISU European HORIZON MSCA Doctoral Network, focusing on reliable and energy-efficient Edge AI hardware design. As a thought leader, I am deeply committed to advancing women in technology, promoting coding for kids, and fostering sustainable, inclusive AI solutions that align with global goals for a better society.
Two decades of initiating, developing, and realizing transformation make me fascinated about shaping the future, challenging standards and reaching innovative, sustainable solutions. As a supervisory board member and trusted C-level-advisor I’m at the forefront to drive the AI change. As thought leader I’m focusing on data value creation, sustainable human centric solutions, women empowerment and the digital sovereignty of our society. So I’m booked as advisor in complex transformation programs to review, as a Data & AI Expert in Advisory Boards, for keynotes for special event or off the record sparing for C-Level.
TIRAMISU “Training and Innovation in Reliable and Efficient Chip Design for Edge AI” is a European HORIZON MSCA Doctoral Network project. The general research objective of TIRAMISU is a practical methodology for reliable and energy-efficient Edge AI hardware backbone design and innovation management. TIRAMISU is part of the European HORIZON program, the most important EU funding program for research and innovation, which aims at sustainability in accordance with the UN goals and the EU competitiveness. The TIRAMISU project is embedded in the renowned MSCA Doctoral Network [Marie Skłodowska-Curie Actions] & strategically designed to foster cross-disciplinary synergies, by seamlessly integrating innovation management research with the technical aspects of Edge AI design.
Initiation, Developing & Leading the [Generative] AI Accelerator across industry & business unit by focusing on sustainable, human-centric data value creation. *Business Growth 2025: +140% Data & AI, +250% Generative AI 2024: +100% Data & AI, +1200% Generative AI VISION: United by our differences we are accelerating the Generative AI Transformation. Trustworthy I By excellence I Across business MISSION: With data at our fingertip’s interdisciplinary teams - Incubating [Generative] AI - Inspiring AI driven Business Growth & - Unleashing your Data Value Add in order to secure the future you want.
Restructuring, Developing & Leading the Data & AI Business across industry & business unit, establishment of the first Generative AI practice to deliver trustworthy value add end 2 end *Business Growth 2023: +30% Data & AI; 2024: +100% Data & AI, +1200% Generative AI
Driving the data driven development & the integration of Artificial Intelligence technologies into our clients eco-system. Thought Leader of data value creation & sustainable, human centric solutions. Female Empowerment & Coding for Kids ambassador.
Leading the AI Hub, the corporate activities of the AI CoE - Center of Excellence, incl. AI portfolio [D³ Portfolio, Data Driven Decision] and AI communication for data driven developments of the BMW Group; *600 Data & AI use cases across the value chain, measurable value add of ca. 1 bn €/a
Establish and manage the “Project AI” as corporate center of excellence for Artificial Intelligence, incl. the AI coreteam, portfolio [D³ Portfolio, Data Driven Decision], technology development, partner-eco-system, communication and data driven qualification of the BMW Group * 400 Data & AI use cases across the value chain
Initiation, extension and manage the Artificial Intelligence network of the BMW Group; develop, derive and update the Artificial Intelligence Strategy of the BMW Group, based on Business division for autonomous driving and driver assistant systems; in cooperation with the corporate strategy, the central IT and the corporate research; embedded in the continuous improvement process of the BMW centre of autonomous driving
WSP Germany AG, formerly CBP Projektmanagement GmbH, Development & realisation of Public Private Partnerships for hospitals and healthcare, research and development centres, based on life-cycle approach, incl. planning, construction, funding and operating; project size up to 1 bn €