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About the Role

The purpose of this position is to contribute to the academic excellence and strategic development of Gisma University of Applied Sciences through high-quality teaching, impactful research, and active participation within the academic community. The successful candidate will be instrumental in shaping and delivering innovative programmes in Business Intelligence, Enterprise Data Strategy, and Data Governance, with a focus on integrating enterprise reporting architectures, data compliance frameworks (e.g., GDPR), and master data management solutions into the curriculum. This role offers a unique opportunity to engage with an international student body, collaborate with industry and research partners, and influence the evolution of data governance and enterprise intelligence education in a dynamic, interdisciplinary environment.

Responsibilities

Module responsibility and teaching of Gisma’s Bachelor and Master programmes, particularly in the fields of Business Intelligence Systems, Enterprise Data Governance, Data Warehousing, Compliance & Ethics in Data, and Strategic Information Management, as well as examination, assessments, and student supervision.
Active participation in programme development, quality assurance, and the integration of relevant applied tools and methodologies into the curriculum.
Design and continuous update of contemporary teaching and learning materials aligned with advancements in the sector.
Initiate, expand, and maintain cooperation with partners in industry and research organisations, particularly in enterprise data consultancy environments, corporate business intelligence hubs, IT governance councils, and big data infrastructure entities.
Participation in national and international accreditation procedures, as required.
Active engagement in academic administration and committee work.
Further development of a personal and institutional research profile in Business Intelligence Maturity, Data Governance Frameworks, Corporate Data Ethics and Compliance, or Enterprise Information Architectures, publication of results in high-quality journals, and engagement in public dissemination.
Support outreach activities, including student recruitment events and promotion of related business study pathways.

Requirements

Fulfil all requirements according to Section 41 ff of the Brandenburg Higher Education Act (BbgHG).
Completed university studies in a relevant discipline such as Quantitative Finance, Financial Engineering, Computational Economics, Fintech, or Business Administration with a specialized finance focus.
Proof of extraordinary qualification for scientific work in the form of an outstanding doctorate and/or a strong record of high-impact, peer-reviewed publications.
A minimum of three years of qualified professional experience, including at least two years outside a university environment, gained after a master´s degree or equivalent.
Proven university-level teaching experience, with competence in blended, online, and interactive learning methodologies. Student evaluations should reflect excellent pedagogical aptitude.
A strong affinity for cutting-edge methodologies, software, and tools, specifically related to algorithmic trading platforms, financial programming (Python/R for finance), and decentralized blockchain architectures.
Fluency in English for teaching and research purposes.
A publication record in fields matching the professorship scope or relevant digital ecosystems.
Experience in developing and leading research projects, ideally with success in acquiring third-party funding.
Innovative perspectives for advancing research and curriculum in the specified professorship domain.
Experience in curriculum development and accreditation processes is an asset.

Skills

Business Intelligence Systems
Enterprise Data Governance
Data Warehousing
Compliance & Ethics in Data
Strategic Information Management
Blended learning methodologies
Online learning methodologies
Interactive learning methodologies
Algorithmic trading platforms
Financial programming (Python/R for finance)
Decentralized blockchain architectures
Curriculum development
Accreditation processes

Location

Gisma University of Applied Sciences

Work Type

Full-time

Experience Level

Minimum of three years of qualified professional experience, including at least two years outside a university environment, gained after a master´s degree or equivalent.
International academic or industry experience is highly valued.

Education Level

Completed university studies in a relevant discipline such as Quantitative Finance, Financial Engineering, Computational Economics, Fintech, or Business Administration with a specialized finance focus.
Outstanding doctorate

Benefits

Continuous support for your personal and professional development.

About the Company

Gisma University of Applied Sciences, first established in 1999 as Gisma Business School, is a leading university of applied sciences for innovative and creative international business, technology, and engineering innovation.
Our Global MBA program has been recognized for its excellence through the highly acclaimed AMBA accreditation, reinforcing our reputation in the industry.
Recently, we have expanded our programme portfolio into the fields of Computer Science, Software Engineering, Data Science, and Artificial Intelligence.
Our unique teaching approach combines practical experience in these fields with the development of analytical skills and an understanding of contemporary theories through personalized, hands-on, and interactive learning.
Gisma is part of Global University Systems (GUS), an international education business, which is represented by over 87,000 students in nearly 60 locations across the globe, providing students with opportunities for global exposure and a unique learning experience.

Equal Opportunity

As an employer, we are committed to equal opportunity and support for minorities.
We do not discriminate based on ethnic origin, skin colour, religion, sexual orientation, gender identity, national origin, disability or legally protected status.