Assistant Associate Dean, Data Science & AI Discipline at RMIT University

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

07 Sep, 26

Salary

227847.0

Posted On

09 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Academic Leadership, Research Excellence, Curriculum Development, Strategic Thinking, Stakeholder Management, People Leadership, Interpersonal Communication, Negotiation, Academic Governance, Staff Development

Industry

Education Management

Description

Overview: Play a pivotal role in providing senior leadership for the Discipline’s academic and research performance, strategy, and growth Fixed term (3 year) contract for Assistant Associate Dean underpinned by an ongoing Senior Lecturer/Associate Professor/Professor position Remuneration for Academic Level C ($146,897-169,387) or Academic Level D ($176,883 - $194,868) or Academic Level E ($227,847) About the Role The Assistant Associate Dean (AAD) is a key leadership role within the School of Computing Technologies, offering the opportunity to shape the direction and success of the Data Science & Artificial Intelligence (DSAI) Discipline. Working closely with the Associate Dean, DSAI, and the broader School leadership team, you will provide strategic and people leadership across the Discipline, supporting staff to excel in teaching, research and engagement. You will play an important role in representing the Discipline, fostering a collaborative and high-performing culture, and contributing to the School’s ambitions for growth, innovation and impact across education and research. As an accomplished academic leader and recognised researcher in a DSAI-related field, you will bring a strong track record of research excellence, academic leadership and staff development. In this role, you will lead and grow research programs and teams, strengthen a vibrant and inclusive research culture, and build productive collaborations across RMIT and with external partners. You will also contribute meaningfully to teaching and learning, helping to deliver outstanding student outcomes in the discipline. With influence across both the Discipline and the School, you will help shape strategic priorities, contribute to academic governance and committee leadership, and advance the profile and performance of DSAI within RMIT and beyond. To be successful for this position, you will have: Proven academic leadership experience, with the ability to lead teams, build capability and deliver on strategic objectives. An established and respected research profile in a relevant field, with the capacity to lead and promote research excellence. A strong record of innovative teaching and curriculum contribution in a relevant discipline, supported by a sound understanding of contemporary learning and teaching practice. Strong understanding of relevant industry trends, priorities and the evolving higher education landscape. Strategic thinking capability, with the ability to translate organisational priorities into practical actions and outcomes. Highly developed interpersonal, communication, influencing and negotiation skills, with the ability to build strong relationships internally and externally. A collaborative and collegiate approach, with proven ability to work across teams, align stakeholders and achieve shared goals. Demonstrated ability to influence positive change, foster collaboration and promote excellence in teaching, research and academic performance. Qualifications Mandatory: A PhD in a relevant field (i.e., Data Science, AI or Computer Science), with experience, standing and achievements commensurate with appointment at Academic Level C, D or E at RMIT. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the School of Computing Technologies The School of Computing Technologies (SCT) is a globally connected and forward-looking school, recognised for world-class computing research and innovative education in information technology, data science and artificial intelligence. We are committed to shaping the future of technology through distinctive research, industry engagement, and a strong emphasis on diversity, interdisciplinarity and real-world impact. In the 2026 QS World University Rankings by Subject, RMIT was ranked 117 globally for Computer Science and Information Systems, placed in the 51–100 band for Data Science, and ranked 29 for Library and Information Management. The School offers programs across Computer Science, Software Engineering, Data Science, Artificial Intelligence, Cyber Security and Information Technology, and is one of Australia’s largest and leading education providers in the field. SCT is a national leader in industry-connected learning across computing, data science and IT. Our undergraduate programs have been redesigned to provide a common foundation in programming, supported by an innovative Bootcamp2Studio model that combines immersive, challenge-based learning with strong industry relevance. This approach equips students with the practical skills, adaptability and confidence to make meaningful contributions in a rapidly evolving technology landscape. The School is led by the Dean, School of Computing Technologies, and has three disciplines: Cyber Security & Software Systems (CSSS) Data Science & Artificial Intelligence (DSAI) Interaction, Technology & Information (ITI) Our PhD students and faculty conduct world leading research in many areas of Computing and Computing applications, including in: Information Interaction and Information Retrieval Human-Computer Interaction Artificial Intelligence and Natural Language Processing Data Science and Machine Learning Recommendation and Big Data Analysis Cybersecurity Software Engineering Digital Health Computer Science Education Learn more: https://www.rmit.edu.au/about/schools-colleges/computing-technologies To apply, please submit your application via the ‘Apply’ link below, ensuring you include: CV Covering letter A separate document addressing the Key Selection Criteria for the Assistant Associate Dean, DSAI position For further information about this position, please refer to the Position Description hyperlinked below or contact Professor Jeffrey Chan via jeffrey.chan@rmit.edu.au. For questions about the recruitment process, please contact Jennifer Pham, Senior Talent Acquisition Advisor, via email at Jennifer.pham2@rmit.edu.au or Senior Talent Acquisition Advisor, Bianca Jenkins via email bianca.jenkins@rmit.edu.au. Please do not send your application to these email addresses. Position Description – Assistant Associate Dean, Data Science & AI Discipline (3-Year) Position Description – Professor (ongoing) Position Description – Associate Professor (ongoing) Position Description – Senior Lecturer (ongoing) Applications Close: 12 July 2026 11.59 pm RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community, and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. In line with RMIT University’s commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes. All applicants will be required to complete a gender‑based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence. Preferred candidates will also be required to undertake relevant pre‑employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT’s safety obligations. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers. We are a Circle Back Initiative Employer – we commit to respond to every applicant. Culture Our Values inspire us, wherever we are in the world, and guide how we live and work together. Imagination. Integrity. Courage. Passion. Impact. Inclusion. What unites us is our purpose and our values; they are at the heart of who we are, what we stand for, how we make decisions and connect with each other. Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. RMIT exists to create transformative experiences for our students, getting them ready for life and work. You will be a part of a productive and collaborative team, who values working relationships and outcomes through open and inclusive planning, continuous information sharing and transparent work practices. Find out what makes RMIT a great place to work

Responsibilities

Provide senior leadership for the Data Science & AI Discipline's academic and research performance, strategy, and growth. Lead research programs and teams while contributing to teaching and learning to deliver outstanding student outcomes.