Manager, Asset Data Analytics & Systems in Sydney

University of New South Wales – Kensington NSW

• Employment Type: Continuing, Full-time, 35 hours per week opportunity
• Remuneration: Level 9 – from $153,933 + 17% superannuation and leave loading
• Location: Kensington, NSW

About UNSW

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work. We aspire to be Australia’s global university, improving and transforming lives through excellence in research, outstanding education and a commitment to advancing a just society.

About the Role

Facilities Management (FM), a division of Estate Management, provides operational support for building maintenance, asset renewal, capital works, and infrastructure planning across UNSW’s property portfolio. The Manager, Asset Data Analytics & Systems leads a structured data governance framework that establishes a single source of truth to support lifecycle planning and long-term capital investment decisions.

Translating complex datasets into actionable asset intelligence, the role provides specialist leadership in asset analytics, lifecycle modelling, and portfolio forecasting to inform the Strategic Asset Management Plan (SAMP). The position oversees key enterprise platforms, including CMMS administration, ensuring accurate asset condition, performance, and risk data.

Reporting to the Senior Manager, Facilities Services & Assurance, the role manages one direct report and collaborates with technical experts to drive system optimisation, dashboard reporting, and continuous improvement.

The successful applicant will be required to undertake and have experience in the following areas of expertise:

• Establish and lead a robust asset data governance framework to ensure data integrity, optimisation, and a single source of truth across the University portfolio.
• Oversee CMMS administration and drive the continuous improvement of the Building Asset Management Plan (BAMP) and Strategic Asset Management Plan (SAMP).
• Perform portfolio-wide analysis of asset condition, risk, and maintenance backlogs using lifecycle and deterioration models to guide capital prioritisation and renewal strategies.
• Integrate datasets across CMMS, condition audits, GIS, and financial platforms to deliver consolidated insights and advanced analytics dashboards for executive decision-making.
• Direct maintenance task allocation to contractors, monitoring statutory compliance, task completion, and performance trends through dedicated reporting systems.
• Lead asset data validation and quality assurance programs, conducting scenario modelling and sensitivity analyses to support funding and risk trade-off decisions.
• Collaborate with FM, Engineering, Projects, and Finance to define asset handover requirements, produce evidence-based business cases, and optimise system capability.

About You

• Tertiary qualification in Data Analytics, Engineering, Asset Management, Property, or a related discipline, alongside substantial experience in asset data analysis and lifecycle modelling for large portfolios.
• Experience in managing and analysing data relating to building services, building fabric and general services within CMMS and associated platforms".
• Demonstrated track record in developing Building Asset Management Plans (BAMPs) to guide long‑term capital planning, portfolio forecasting, and risk‑based prioritisation.
• Advanced proficiency in data analysis and visualisation tools - Smartsheet (or equivalent), Power BI and Excel - to translate complex technical data into clear, executive‑level insights.
• Proven experience establishing asset data governance frameworks, quality assurance processes, and data standards to maintain a single source of truth.
• Strong capability in integrating data across multiple enterprise systems to support strategic decision‑making, lifecycle planning, and portfolio optimisation.
• Highly developed written and verbal communication skills, with a collaborative approach to engaging multidisciplinary teams, managing competing priorities, and solving complex problems.
• Commitment to UNSW’s values in action, health and safety obligations (both physical and psychosocial), and relevant organisational policies and guidelines.

For further information on the role & responsibilities, please refer to the Position Description

Please note: Sponsorship is not available for this role, valid Australian working rights are required on application.

UNSW Benefits and Culture:

• Flexible Working Options (work from home, flexible hours etc)
• Additional 3 days leave during December festive period.
• Up to 50% discount on UNSW courses
• Flexible 17% Superannuation contributions, additional leave‑loading payments and salary sacrifice.
• Discounts and entitlements (retail, education, fitness passport)

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.

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 membershipEmployment 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.

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