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About the Role

Contribute to academic excellence and strategic development at Gisma University of Applied Sciences through high-quality teaching, impactful research, and community participation. Shape and deliver innovative programmes in Business Intelligence, Enterprise Data Strategy, and Data Governance, integrating enterprise reporting, data compliance, and master data management into the curriculum. Engage with an international student body and industry partners in a dynamic, interdisciplinary environment.

Responsibilities

Module responsibility and teaching of Bachelor and Master programmes in Business Intelligence Systems, Enterprise Data Governance, Data Warehousing, Compliance & Ethics in Data, and Strategic Information Management.
Conduct examinations, assessments, and student supervision.
Participate in programme development, quality assurance, and curriculum integration of applied tools and methodologies.
Design and update contemporary teaching and learning materials.
Initiate, expand, and maintain cooperation with industry and research partners.
Participate in national and international accreditation procedures.
Engage in academic administration and committee work.
Develop a personal and institutional research profile in Business Intelligence Maturity, Data Governance Frameworks, Corporate Data Ethics and Compliance, or Enterprise Information Architectures.
Publish research results in high-quality journals and engage 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 via an outstanding doctorate and/or a strong record of high-impact, peer-reviewed publications.
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 reflecting excellent pedagogical aptitude.
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
Online learning
Interactive learning methodologies
Algorithmic trading platforms
Financial programming (Python/R for finance)
Decentralized blockchain architectures
Curriculum development
Accreditation processes

Location

Germany

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.
Proven university-level teaching experience

Education Level

Doctorate
Master's degree or equivalent

Benefits

Opportunity to work with a great team in a dynamic and international culture.
Opportunity to play a leading role in launching new campus-wide initiatives and academic events.
Opportunity to develop and implement new ideas and concepts.
Continuous support for personal and professional development.

About the Company

GUS Germany GmbH (GGG) is an innovative and dynamic network of world-class higher education institutions committed to empowering students with the knowledge and skills they need to make a positive impact.
Our mission is to foster visionary leaders who can drive meaningful change for society.
GGG includes UE (University of Europe for Applied Sciences), BSBI (Berlin School of Business & Innovation), htk academy, and GISMA University for Applied Sciences.
Our institutions offer a wide range of academic disciplines, including business, technology, data science, engineering, sports, and fine arts.
As part of the Global University Systems (GUS) network, GGG is dedicated to providing exceptional learning experiences.
GGG is committed to creating a supportive and inclusive work environment where everyone can thrive.
Employees play a vital role in ensuring student success.

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.