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Lecturer in Business Data Analytics. University of Reading • Reading, Reading, GB
Lecturer in Business Data Analytics

Lecturer in Business Data Analytics

. University of Reading • Reading, Reading, GB
3 days ago
Job type
  • Full-time
  • Part-time
  • Permanent
Job description
Closing date - 23:59 Monday 6th July 2026

Full time - permanent contract

Interview date - The interview day will include a presentation in the morning and interview in the afternoon

By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK Visas and Immigration Website UK Visas and Immigration Website .

We are seeking to appoint a Lecturer in Business Data Analytics who will contribute to strengthen our research and teaching portfolio in data analytics and AI. You will be involved in research and teaching in the broad area of information systems with a focus on data analytics and AI with associated responsibilities in administration. You will contribute to the advancement of research, teaching and training provision in digital and AI, which is part of the strategic direction at Henley Business School in the Department of Digitalisation, Marketing and Entrepreneurship (DME).

You will contribute to scholarship, teaching and administration, commensurate with the post of Lecturer.

You are expected to:
  • Conduct independent research in the area of data analytics and AI, in the context of information management and information systems at a business school;
  • Teach a range of modules in the broad area of information systems, from undergraduate, pre-experience and post-experience master's programmes to executive education programmes as agreed by the Head of DME;
  • Take on administrative duties and academic citizenship activities as well as academic leadership roles as appropriate.

Research will involve the planning and conduct of individual and collaborative research projects expected to lead to the regular publication that are world-leading or internationally excellent in terms of originality, significance, and rigour. Preparation of research proposals and funding applications appropriate to the field and level will also be expected, as well as developing evidence to demonstrate the impact of research. It is expected that the research will actively contribute to the research agenda of IRC, Henley's World of Work Institute, and other relevant centres and groups both internally and externally, e.g., the Thames Valley AI Hub.

You will be involved in teaching in a wide range of programmes, including undergraduate and postgraduate programmes in digital business and data analytics as well as general business and management, which will involve lectures, seminars, tutorials, project/dissertation supervision at all levels, together with appropriate assessment and feedback. Providing students with an effective learning experience is expected, by fully engaging with their teaching/learning and seek to enhance their practice, building on examples of good practice from a range of sources. For those with appropriate experience and expertise, there will be opportunities for teaching in Executive Education programmes.

Administration will include management of teaching provision, academic tutoring, module convening and may include other roles within the Department, School and University, along with business engagement and programme outreach activities as appropriate.

All members of staff at Henley Business School are expected to demonstrate academic citizenship, which includes collegiality and taking active part in contributing to School and University activities such as Open Days.

Professor Keiichi Nakata, Head of Digitalisation, Marketing and Entrepreneurship, k.nakata@henley.ac.uk

The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and champions LGBT+ equality. We are a Disability Confident Employer (Level 2). Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.
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Lecturer in Business Data Analytics • Reading, Reading, GB

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