The Opportunity
The Faculty of Engineering at UNSW has an exciting opportunity for a Data and Automation Manager to lead the Faculty’s data, reporting, analytics and automation capability. Working closely with senior leaders across Education, Research, Societal Impact and Operations, this role will develop and deliver a coordinated faculty-wide data strategy that enables evidence-based decision making, strengthens data governance and supports the achievement of strategic and operational priorities.
This role will drive innovation and continuous improvement through modern data platforms, automation technologies, AI and process optimisation. You will lead the development of reporting frameworks, dashboards and automation solutions that improve data accessibility, deliver actionable insights and create more efficient ways of working across the Faculty.
The successful candidate will be a strategic and collaborative data professional with strong experience in analytics, business intelligence, reporting and automation. You will be skilled at translating complex data into meaningful insights, influencing stakeholders and driving initiatives that improve organisational performance. Experience working within a university, research, innovation or similarly complex environment, together with expertise in data governance, automation technologies and modern reporting platforms, will be highly regarded.
This role reports to the Faculty Executive Director and has no direct report.
- Salary, Level 8 - $127,351 to $143,488 per annum + 17% superannuation
- Full time
- Continuing (Permanent)
- Location: Kensington – Sydney, Australia
- On-site role
About UNSW
UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.
The Faculty of Engineering at UNSW continues to be a national and international leader in engineering research and education, cementing its status as the University’s premier research faculty. As the largest Engineering Faculty in Australia, it graduates the highest number of engineers and maintains the largest research expenditure in the country. Through excellence in both fundamental and applied research, the Faculty strives to sustain and further its global impact, aiming to be ranked among the top engineering faculties worldwide. For more information, visit the Faculty website: https://www.unsw.edu.au/engineering/about-us
Skills & Experience
- Relevant tertiary qualification with substantial relevant experience, or an equivalent level of knowledge gained through a combination of education, training, and professional practice. Experience in data management, analytics, reporting, business intelligence, or quality assurance within a higher education environment is highly desirable.
- Significant experience leading complex projects and continuous improvement initiatives, with a strong understanding of project management methodologies, strategic planning, governance, and the end-to-end project lifecycle.
- Extensive experience working with large and complex qualitative and quantitative datasets, including the ability to analyse, interpret, and synthesise information to support strategic and operational decision-making.
- Proven success in developing and overseeing enterprise reporting solutions, dashboards, and data visualisations that deliver clear, meaningful, and actionable insights for a range of technical and non-technical audiences.
- Advanced analytical, problem-solving, and critical judgement skills, including the ability to identify trends, risks, opportunities, and emerging issues and provide evidence-based recommendations to senior stakeholders.
- High level experience working with business intelligence, automation, and data platforms, including Microsoft Power Platform technologies such as Power BI, Power Automate, Power Apps, and Excel. Experience with AI-enabled tools, automation technologies, and university systems is highly desirable.
- Demonstrated experience leading initiatives that improve data governance, data quality, reporting capability, and process efficiency across a complex organisation.
- Highly developed written and verbal communication skills, with proven ability to prepare high-quality reports, briefings, presentations, and visualisations for executive and external audiences.
- Excellent interpersonal, consultation, and stakeholder management skills, including demonstrated success building collaborative relationships and influencing stakeholders at all organisational levels.
- Strong organisational and time management skills, with the demonstrated ability to manage competing priorities, lead multiple concurrent initiatives, exercise sound judgement, and deliver outcomes within agreed deadlines.
- Demonstrated understanding of data governance, privacy, ethical data use, and compliance obligations within a regulated environment.
- 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.
Additional details about the specific responsibilities for this position can be found in the position description. This is available via JOBS@UNSW.
Benefits and Culture:
UNSW offer a competitive salary and access to a plethora of UNSW-perks including:
- 17% Superannuation and leave loading
- Additional 3 days of leave over the Christmas Period
- Access to lifelong learning and career development
More information on the great staff benefits and culture can be found here.
To Apply:
Please click the “Apply Now” button and submit your CV, Cover Letter and Responses to the Skills and Experience. You should systematically address the Skills and Experience listed within the position description in your application.
Applicants must have working rights in Australia and be able to be on site in Kensington on a regular basis. Visa sponsorship is not available for this appointment.
Please note applications will not be accepted if sent to the contact listed below.
Contact:
Eugene Aves - Talent Acquisition Partner
E: eugene.aves@unsw.edu.au
Applications close: 11:55 pm (Sydney time) on Monday, 15 June 2026
Pre-Employment Checks
Aligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for.
These pre-employment checks may include a combination of some of the following checks: -
- National and International Criminal history checks
- Entitlement to work and ID checks
- Working With Children Checks
- Completion of a Gender-Based Violence Prevention Declaration
- Verification of relevant qualifications
- Verification of relevant professional membership
- Employment history and reference checks
- Financial responsibility assessments/checks.
- Medical Checks and Assessments
Compliance with the necessary combination of these checks is a condition of employment at UNSW.
UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.
