Senior Lecturer - Analytics

Role overview

Teaching and student learning

• Teach undergraduate and postgraduate Business Analytics, Big Data, and AI, using Python, R, Microsoft Power BI, and SAS Viya.
• Teach Big Data Management and Integration and the application of Generative AI in business.
• Help students understand the strategic business value of AI and develop responsible AI-based business solutions.
• Contribute to teaching and assessment and support dissertation and research supervision in line with experience and academic requirements.

Research and scholarly contribution

• Maintain an active research agenda appropriate to Senior Lecturer level and produce peer-reviewed research outputs appropriate to academic seniority.
• The role specification seeks at least three peer-reviewed journal articles indexed in Scopus and/or ranked ABDC B or above, or equivalent outputs appropriate to academic rank.
• Maintain a clear research pipeline, including manuscripts under review or at revise-and-resubmit stage appropriate to an early-career scholar.
• Contribute to interdisciplinary and professional or practice-based research and pursue external research funding.

Essential qualifications and experience

• PhD in Business Analytics, Data Science, Big Data, Information Systems, Operations Research, or a closely related discipline.
• Relevant academic qualifications aligned to Business Analytics, evidence of scholarly research outcomes, and higher education teaching experience.
• Demonstrated experience with contemporary learning tools and technologies and technical capability relevant to analytics education.
• The role specification prefers two to three years of higher education teaching experience and three to four years of post-PhD research experience.

Technical capability

• The role particularly identifies practical competence with Python, R, Microsoft Power BI, and SAS Viya.
• Advanced Microsoft Excel and Tableau are also valued in the CV shortlisting criteria.

Industry and practice engagement

• Industry experience is preferred rather than mandatory; candidates with one to two or more years of relevant professional experience are particularly welcomed.
• Relevant backgrounds may include Business Analytics, Data Science, Big Data, Information Technology, analytics or technology consulting, software vendors, or analytical roles within client organisations.
• Active industry engagement is a selection consideration; recent industry exposure is an advantage.

School of Business