The University of Wollongong in Dubai (UOWD) invites applications for a Senior Lecturer(Assistant Professor) in Business Analytics to join the School of Business.

This is a balanced teaching and research appointment created to support growth in Business Analytics and increasing curriculum needs in Big Data Analytics and Artificial Intelligence across UOWD's undergraduate and postgraduate business programs.

We are looking for an emerging or established academic who can bring together Business Analytics, Big Data, Generative AI, data-driven decision-making and responsible AI in both teaching and research.

The successful candidate will have the technical capability to work with contemporary analytics platforms while also being able to help students understand how data and AI can create strategic business value. Key areas of teaching include Big Data Management and Integration and Leveraging Generative AI for Business.

The School of Business is committed to delivering student-centred, research-informed and globally relevant business education. Academic appointments are expected to support excellence in teaching, research and student impact while contributing to UOWD's broader academic priorities.

For this appointment, the School is particularly seeking expertise that strengthens its capability at the intersection of business, analytics, data science and emerging AI technologies.

Teaching & Student Learning

The successful candidate will contribute to teaching across undergraduate and postgraduate programs, with particular emphasis on Business Analytics, Big Data and AI.

Teaching responsibilities will include:

• Delivering technical analytics skills using contemporary platforms including Python, R, Microsoft Power BI and SAS Viya.

• Teaching Big Data Management and Integration.

• Teaching the application of Generative AI in a business context.

• Helping students understand the strategic business value of AI and related technologies.

• Developing students' ability to design responsible AI-based business solutions.

• Contributing to undergraduate and postgraduate teaching and assessment.

• Supporting dissertation and research supervision consistent with experience and academic requirements.

We are particularly interested in academics who can move confidently between technical analytics capability and business application, helping students understand not simply how an analytical technique works, but how it can support better organisational decisions and outcomes.

Research & Scholarly Contribution

The successful candidate will be expected to maintain an active research agenda appropriate to appointment at Senior Lecturer level.

The role specification seeks candidates with:

• Peer-reviewed research outputs appropriate to academic seniority.

• At least three peer-reviewed journal articles indexed in Scopus and/or ranked ABDC B or above, or equivalent outputs appropriate to academic rank.

• A clear research pipeline, including manuscripts under review or at revise-and-resubmit stage appropriate to an early-career scholar.

• An interest in securing external research funding.

• Capacity to contribute to interdisciplinary research.

• Engagement with professional or practice-based research.

Research outputs may be indexed through Scopus, Web of Science, ABDC/ERA, or other recognised outlets applicable to the discipline.

Industry & Practice Engagement

UOWD values academics who can connect research and classroom learning with contemporary industry practice.

Industry experience is preferred rather than mandatory, with candidates bringing 1-2+ years of relevant professional experience particularly welcomed. Relevant backgrounds may include:

• Business Analytics

• Data Science

• Big Data

• Information Technology

• Analytics or technology consulting

• Software vendors

• Analytical roles within client organisations

Candidates with strong practice experience and recent industry exposure will be at an advantage. Active engagement with industry is also identified as a selection consideration for the appointment.

You are an academically grounded analytics professional who is passionate about the way data, AI and emerging technologies are transforming business decision-making.

You combine technical capability with the communication skills needed to make complex analytical concepts accessible and relevant to business students. You are enthusiastic about contemporary teaching, intellectually curious and motivated to develop a meaningful research profile.

Essential Qualifications & Experience

You will bring:

• A PhD in Business Analytics, Data Science, Big Data, Information Systems, Operations Research or a closely related discipline.

• Relevant academic qualifications in a discipline aligned to Business Analytics.

• Evidence of scholarly research outcomes.

• Higher education teaching experience.

• Demonstrated experience with contemporary learning tools and technologies.

• Technical capability relevant to contemporary analytics education.

The role specification indicates that 2-3 years of higher education teaching experience and 3-4 years of post-PhD research experience are preferable.

Technical Capability

Candidates should be able to demonstrate practical competence with contemporary analytics technologies. The role particularly identifies experience with:

• Python

• R

• Microsoft Power BI

• SAS Viya

The CV shortlisting criteria also value fluency with technologies such as advanced Microsoft Excel and Tableau.

The successful candidate will enjoy interaction with a professional and dynamic team of highly respected educators from over 50 different countries and exposure to students from over 100 nationalities.

The University offers an expatriate package, which is an attractive tax-free salary. The expatriate package includes six weeks of paid leave per year, private medical insurance for employee and eligible dependents, life and disability insurance and education allowance for dependents. The University is located in Knowledge Park, Dubai and has excellent teaching, learning and research facilities as well as access to Library resources that meets international standards.

UOWD is an equal opportunity employer that attracts, develops, motivates, empowers, and retains a diverse workforce.