Lecturer or Senior Lecturer in Information Systems and Business Analytics

Job no: 585410

Work type: Full-time, Level B - Teaching and Research

Location: Melbourne - Burwood

Categories: IT

Based at our Melbourne, Burwood Campus

Full-time and continuing

Level B $122,391 - $144,759 + 17% Superannuation or Level C $149,230 - $171,602 + 17% Superannuation

Why work with us?

At Deakin you will have access to benefits such as a variety of leave options including generous parental leave and the ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and environment to work in, both online and on campus.

Who are we?

The Faculty of Business and Law is committed to excellence in teaching, learning, and research, with a focus on creating positive social and economic impact. The School of Business prioritises solution-driven research and collaborates closely with industry and government to translate findings into practice. Within this, the Information Systems and Business Analytics (ISBA) group is a forward-thinking academic community applying AI, data analytics, and innovative digital technologies to shape the future of technology-enabled business and improve organisational performance.

About the role:

The role delivers high-quality, student-centred teaching across undergraduate and postgraduate programs while contributing to a dynamic research community. It involves leading unit teaching teams, designing innovative and inclusive curricula, and integrating industry and research insights into student learning. The role also conducts impactful research in areas such as AI, business analytics, and responsible digital technologies, and contributes to a culture of educational excellence and strong industry engagement.

As a Lecturer (Level B) or Senior Lecturer (Level C) in the School of Business, you will:

• Lead unit and course teaching teams, working collaboratively across the faculty to develop effective curricula and learning materials, review units and courses, and implement evidence-based refinements.
• Integrate industry, clinical and research practice into unit and course design to enhance student learning experiences, engagement, success and the relevance of learning resources.
• Lead the development and adoption of innovative, learner-centric and research-informed curriculum design across a range of levels and delivery modes, including the creation of inclusive and collaborative learning opportunities.
• Develop and moderate high-quality assessment tasks and rubrics at unit and course level, providing clear assessment criteria and timely feedback to demonstrate learning outcomes and strengthen student achievement.
• Foster a culture of collaboration and educational excellence by supporting students, mentoring colleagues, building teaching and learning capability, and contributing to pedagogical research and scholarly practice.

To be successful, you’ll have:

• PhD in Business Analytics, Information Systems or a related discipline, or equivalent relevant qualifications and experience.
• Strong expertise in the area of effective use and responsible use of digital technologies, including AI, machine learning, business analytics, with a growing or established research track record with quality publications and/or external research funding
• Excellent track record of high-quality teaching in AI, machine learning, business analytics at both undergraduate and postgraduate levels, including experience in innovative curriculum development and in supervising Honours and/or HDR students.
• Capacity to contribute to research leadership, academic administration, and broader community engagement through impactful research.
• Excellent interpersonal skills and a proven ability to build effective working relationships with colleagues.

Here's how to apply:

Please submit your current academic curriculum vitae and a cover letter that clearly states which level and role you are applying for, and detailed responses to the Key Selection Criteria.

For a confidential discussion regarding this role, please contact Associate Professor Van-Hau Trieu, Discipline Chair, Information Systems and Business Analytics via t.trieu@deakin.edu.au

For a copy of the position descriptions, please see below:

PD - Lecturer ISBA 585410.pdf

PD - Senior Lecturer ISBA 585410.pdf

Applications for this position close on Thursday 9 July 2026.

Deakin is a Victorian university with a global impact. We are an agile, dynamic, and innovative university committed to making a positive impact through our excellence in education, research and innovation and the contributions we make to the wider community.

We understand that our reputation has been built on the dedication and expertise of our staff and we offer a dynamic and diverse working environment with opportunities to grow and develop careers. We believe that a progressive, thriving culture will ensure that people choose to come, and stay at Deakin and contribute to our ongoing success.

We value diversity and aim to build an inclusive environment that champions, embraces and respects differences. We support and encourage applications from Aboriginal and Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders.

Pre-employment safety and suitability checks: In accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence, appointment to this role is subject to successful completion of relevant pre-employment checks, including Working With Children Checks and candidate gender-based violence declarations.

Candidates may be asked to declare whether they have been investigated for an allegation of Gender‑based Violence, or determined to have engaged in conduct that constitutes Gender‑based Violence during the course of their previous employment, or otherwise in a legal process. A declaration is not required from individuals who have experienced gender‑based violence. A ‘Yes’ response does not automatically exclude a candidate from employment, and any information provided will be treated confidentially and considered only for relevance to the role and the University’s safety obligations.

Advertised: 11 Jun 2026 AUS Eastern Standard Time

Applications close: 09 Jul 2026 AUS Eastern Standard Time