Lecturer​/Senior Lecturer in Business Analytics & Digital Technologies

The role is for an experienced academic with a strong track record in high-quality teaching and service to the University through leadership and management. This is typically combined with a proven record of impactful research.

To lead and contribute to research, learning and teaching, and knowledge transfer, benefiting students, the School, the University, and the wider community.

• Deliver high-quality teaching to undergraduate and postgraduate students.
• Contribute to the design, development, and evaluation of courses and programmes in collaboration with colleagues in Dubai and London.
• Identify and integrate best and innovative practices in learning and teaching into personal teaching methods.
• Ensure that personal research and subject knowledge inform teaching practices.
• Actively contribute to initiatives that identify, implement, and promote best practices in teaching and learning across the faculty and institution.
• Integrate research insights and materials into the curriculum.
• Take lead responsibility for a programme area, subject, or course, as required.
• Enhance student experience and outcomes.
• Provide academic advice and support to students.
• Work closely with teaching, technical, and administrative staff to ensure a high-quality teaching and learning environment.

• Promote the development of the Campus’s research capacity and culture.
• Lead and shape major research projects and/or collaborations.
• Maintain a strong personal research profile with outputs of high international standing.
• Demonstrate a commitment to creating societal impact through research and knowledge transfer.
• Supervise Master’s students in research and dissertation projects.

• Lead learning and teaching activities in a designated area, such as programme leadership.
• Manage research and knowledge transfer activities, including self-contained projects or contributions to broader programmes.
• Contribute to cross-Campus activities, including student recruitment, induction, assessment, and national and international partnerships.
• Represent colleagues and students on Campus committees, as required.
• Provide guidance, mentorship, and coaching to colleagues.
• Manage allocated people and resources effectively.
• Undertake additional duties as required.

• Doctorate (or equivalent) in Business Analytics, Data Science, Statistics, Management Information Systems or a related field. PhD Candidates close to completion will be considered.
• Understanding of machine learning algorithms and techniques.
• Proficiency in statistical analysis tools such as R, Python, SAS, or SPSS, and other No Code/ Low Code solutions.
• Knowledge of data visualization tools like Tableau, Power BI, or matplotlib/seaborn in Python.
• Familiarity with database querying languages such as SQL.
• Knowledge of digital transformation, automation, and process optimization in business environments.
• Proven ability to deliver high-quality teaching in one or more of the following areas:
  • Business Analytics
  • Data Science
  • Statistics
  • Data Visualization
  • Natural Language Processing
  • Business Technology
  • Digital Transformation
  • AI, Automation, and Process Optimization
  • E-Business
  • Familiarity with different design approaches (e.g HCI, UX)
• Evidence of subject competence and a track record of research outputs, normally of high international standing, commensurate with career stage.
• Track record of innovation in teaching and learning, including curriculum design and promotion of good professional practice.
• Ability to engage and motivate students and colleagues to perform at their best.
• Proven record of success in undertaking, supervising, and managing research activity, including master’s supervision.

• Industry experience in business analytics, data analysis, or a related field.
• Experience applying analytical techniques to real-world business problems.
• Industry experience in business technology, IT management, IT strategy and Policy or a related field.
• Familiarity with analytics applications across various industries, such as marketing, finance, operations, and HR.
• Practical skills in business information systems (e.g., ERP, SCM, CRM) and technologies (e.g., digital twin development, IoT, mobile devices, cloud, edge devices).
• Track record of attracting research and knowledge transfer funding.
• Experience supervising doctoral students and leading research projects.
• Postgraduate Certificate in Higher Education or equivalent teaching qualification.