Manager, Asset Data Analytics & Systems

UNSW International

Randwick

Presencial

AUD 139.000 - 169.000

Tempo integral

Há 10 dias

Uma candidatura completa em um minuto

Currículo e carta de apresentação personalizados, prontos para serem enviados.

Passe pelos filtros ATS

Benefícios oferecidos por esta vaga

Flexible Working Options (work from h

Additional 3 days leave duringDecember

Career development opportunities

Up to 50% discount on UNSW courses

Flexible 17% Superannuation, leave‑加载

Discounts and entitlements (retail,教育,

Resumo da vaga

UNSW is seeking a Senior role in Asset Data Analytics & Systems to lead data governance, CMMS admin, and lifecycle modelling across the university portfolio. You will drive asset intelligence, develop dashboards, and support capital planning through validated data and cross-functional collaboration.

The successful candidate will manage one direct report, partner with FM, Engineering, Projects and Finance, and contribute to the Strategic Asset Management Plan.

Qualificações

Tertiary qualification in Data Analytics, Engineering, Asset Management, Property, or related discipline.
Experience in asset data analysis and lifecycle modelling for large portfolios.
Experience developing Building Asset Management Plans (BAMPs) to guide long-term planning and risk-based prioritisation.
Advanced proficiency in data analysis and visualisation tools (Smartsheet, Power BI, Excel).
Proven experience establishing asset data governance frameworks and data standards to maintain a single source of truth.
Strong capability in integrating data across multiple enterprise systems for strategic decision-making.
Excellent written and verbal communication; collaborative team player.
Commitment to UNSW’s values and safety policies.

Responsabilidades

Establish and lead asset data governance across the University portfolio.
Oversee CMMS administration and improve BAMP and SAMP.
Analyze asset condition, risk, and maintenance backlogs to guide renewal strategies.
Integrate CMMS, audits, GIS and financial platforms to create consolidated insights and dashboards.
Direct maintenance task allocation to contractors and monitor compliance.
Lead data validation and QA programs, run scenario modelling for funding decisions.
Collaborate with FM, Engineering, Projects and Finance to define handover requirements and build business cases.

Conhecimentos

Data governance

Lifecycle modelling

CMMS

Power BI

Excel

Smartsheet

Data analysis

Data integration

Communication

Collaboration

Formação

Data Analytics degree

Ferramentas

CMMS

GIS

Finance systems

Descrição da vaga

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:

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 (work from home, flexible hours etc)
Additional 3 days leave during December festive period.
Career development opportunities
Up to 50% discount on UNSW courses
Flexible 17% Superannuation contributions, additional leave-loading paymentsand 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:-