- Employment Type: Full Time (35 hours per week)
- Duration: Continuing
- Remuneration: Level 9 from $148k + 17% superannuation & leave loading
- Location: Kensington NSW (Hybrid Flexible Working)
Why your role matters
Situated within the Education Innovation and Partnerships team in the Pro Vice-Chancellor, Education (PVCE) Portfolio, this role drives cross-functional initiatives that enable data-informed decision-making, provide pedagogical insights, and advance strategic educational innovation.
This position oversees the full lifecycle of learning analytics solutions, from identifying institutional priorities and stakeholder requirements to developing models, integrating systems, delivering insights, and evaluating impact. Working in close collaboration with academics, education designers, data scientists, technology specialists, and governance groups, the Lead ensures analytics are effectively embedded within curriculum design, learning environments, and student support strategies.
Reporting to the Director, Education Innovation and Partnerships, the Lead, Learning Analytics manages a team of 3–5 staff and may supervise analysts, education specialists, or project personnel depending on the scope of ongoing initiatives.
Specific accountabilities for this role include:
- Develop institutional roadmaps, frameworks and metrics for analytics use in education, aligned with national and international best practice.
- Oversee the design, analysis, and delivery of learning data dashboards, predictive models, and performance metrics in collaboration with technical teams.
- Translate complex learning data into actionable insights, reports, and visualisations tailored for academic leaders, educators, and support teams.
About You:
- A postgraduate qualification in education, data analytics, learning science, or a related field, with extensive experience in learning analytics or educational data leadership.
- Proven track record in leading institution-wide or program-wide learning analytics initiatives with measurable impact.
- Expertise in translating educational questions into data models, dashboards, and practical insights using tools such as Power BI, Python, SQL, or R.
- Deep understanding of pedagogy, curriculum design, and student engagement strategies, and how analytics can inform and enhance them.
- Demonstrated ability to lead cross-functional teams and manage complex projects in data-rich environments.
- Excellent interpersonal and communication skills, with experience engaging and influencing a range of academic and non-technical stakeholders.
- Strong awareness of ethical, legal and regulatory considerations associated with the use of student data and predictive analytics.
- An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
- Knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training.
- Desired experience in the implementation or governance of early alert systems, student success platforms, or AI-enabled analytics tools.
- Desired familiarity with learning management systems (e.g., Canvas, Moodle), assessment platforms and digital engagement tools.
- Desired publication or conference presentation record in learning analytics or digital education.
- Desired experience working in a central academic portfolio or large-scale educational transformation program.
For further details on role responsibilities and skills & experience required, refer to the position description found under the position listing on Jobs@UNSW
Benefits and Culture:
People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world.
Our benefits include:
- Flexible working options.
- Career development opportunities.
- 17% Superannuation contributions and additional leave loading payments.
- Additional 3 days of leave over Christmas period.
- Discounts and entitlements (retail, education, fitness).
For further details on the benefits, please visit https://www.jobs.unsw.edu.au/lifestyle-benefits
How to Apply: Submit your CV & cover letter addressing the key selection criteria (no more than 2 pages) before 11.55pm Thursday 27th November 2025. Please note: Sponsorship is not available for this role, valid Australian working rights are required on application.
Job queries contact: Chloe Gane, Talent Acquisition Consultant E: chloe.gane@unsw.edu.au (applications to the address cannot be accepted, please apply online)
UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.
