Teaching

I am committed to advancing teaching and research at the intersection of data science, strategy, and leadership.

Over the past years, I have been privileged to contribute as an external lecturer at several universities and professional institutions, including FH Kufstein Tirol, Management Center Innsbruck, WIFI Tirol, Raiffeisen Campus, and Baden-Wuerttemberg Cooperative State University in Heilbronn (Germany).

In my teaching, I aim to combine practice-oriented insights into Analytics, Data Storytelling, Data Science, and practical applications of AI with a strong management and strategy perspective. This integrated approach is intended to enable participants not only to apply this knowledge hands-on, but also to reflect on their role in shaping data-driven organizations.

In addition to technical and analytical skills, I address cross-cutting topics such as Data-Driven Leadership, Data Strategy, Change Management in data-centric organizations, and the ethical dimensions of AI. My goal is to help participants develop both the operational competencies and the strategic mindset needed to successfully navigate data-driven change.

My teaching portfolio has included courses such as the following.

• Fundamentals of Digital Management for International Business & Law (Master´s Degree International Business & Law)
• MCI Executive Education
  • Data Storytelling
  • Fundamentals of Data Science for Managers
  • AI for Business
  • Data-Driven Leadership

• Data Science for Business and Commerce (Master’s Degree in Data Science & Intelligent Analytics)
• Analytics Platforms / Anwendungsorientierte Analyseplattformen (cross-program elective)
  

• Business Data Analyst with Excel and Power BI
• Data Visualization & Data Storytelling
• Applied Data Analytics

• Generative AI in Practice

• From 2021 to 2023: Digital Analytics (cross-program elective)

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Education

I studied International Business Administration at the University of Innsbruck from 2002 to 2007, specializing in Strategic Management. As part of my studies, I spent an academic year at the University of Newcastle upon Tyne in Great Britain (October 2005 to June 2006), where I focused on Corporate Finance and Financial Markets. My master thesis explored controlling as a management function in nonprofit organizations and was combined with a practical experience as a working student.

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RESEARCH

My academic work focuses on the organizational and managerial dynamics of data science and AI projects. In my PhD dissertation in Management at the University of Innsbruck, I explored how data science projects emerge, are translated across organizational boundaries, and are evaluated in practice.

My dissertation

Translating Data Science. Emergence and Evaluation of Data Science Projects Across Organizational Boundaries

examines data science projects from an actor-centered perspective and investigates how organizational actors initiate, shape, justify, and evaluate such projects. It shows that data science and AI initiatives are not only technical endeavors, but also processes of translation, sensemaking, and organizational change.

This perspective informs my teaching, speaking, and professional work at the intersection of data science, strategy, leadership, and transformation.