Department of Education Victoria – Melbourne VIC

The role of the Department of Education is to support Victorians to build prosperous, socially engaged, happy and healthy lives. It does this by supporting lifelong learning and healthy development, strengthening families and helping to equip people with the skills and knowledge for the future of the economy and society.

About the Branch

The Information Management Branch oversees how data is collected, organised, distributed, and utilised across schools, early childhood education, corporate offices, and the Department. Focus areas include the Data Governance Council and custodianship model, ensuring accountability and stewardship of data; advanced analytics; Business Intelligence (BI); Artificial Intelligence (AI), Master Data Management (MDM) for data integrity; and the use of data warehousing for effective data organisation. By collaborating with stakeholders, initiatives are aligned with departmental goals, fostering data-driven decision-making to improve educational and wellbeing outcomes for children and students.

About the Role

The AI and Data Architect provides the department's specialist architecture, standards, assurance and emerging capability advice for artificial intelligence, and to enable data architecture and enterprise data initiatives.

The role advises governance forums, business owners and technical teams on the design, architecture and delivery of AI-enabled technology projects; establishes architectural standards,



evaluation and monitoring requirements; develops and advises on AI-specific controls and non-functional requirements; advises on responses to significant AI-related incidents and behavioural events; and supports the governed delivery and operation of AI-enabled technology services across the department.

The role also leads initiatives relating to the department's data architecture and enterprise data analytics platform, providing architectural advice and guidance to support alignment, integration, reuse and effective enterprise data analytics capability.

About you

To be successful in this role you will have:

- Demonstrated expertise in enterprise, solution, data or technology architecture, with experience providing architecture, standards and assurance advice for complex digital, data and AI-enabled services.
- Proven experience advising on artificial intelligence initiatives, including architecture, governance, risk, controls, non-functional requirements and delivery considerations in complex organisational environments.
- Strong knowledge of data architecture and enterprise data platforms, including the ability to support alignment, integration, reuse and the effective delivery of enterprise data and analytics capabilities.
- Demonstrated ability to provide strategic and technical advice to governance forums, senior stakeholders, business owners and delivery teams.
- Strong stakeholder engagement and communication skills, with the ability to build effective relationships, influence decision-making and work collaboratively across business and technical environments.
- Highly developed analytical,



critical thinking, problem-solving and communication skills, with the ability to assess complex issues, evaluate options and provide explicit, practical advice.
- Relevant tertiary qualifications in information technology, computer science, data, engineering, architecture or a related discipline are desirable. Industry certifications in enterprise architecture, cloud, data, security or AI-related disciplines would be advantageous.

Desirable Qualifications and Experience

As our ideal candidate, you will have:

- A tertiary qualification in information technology, computer science, data, engineering, architecture or a related discipline is desirable.
- Demonstrated experience in enterprise, solution, data or technology architecture, including the design and assurance of complex digital or data-enabled services.
- Demonstrated experience advising on artificial intelligence initiatives, including architecture, governance, risk, controls and delivery considerations.
- Experience developing or applying architectural standards, non-functional requirements, assurance processes and design controls in complex organisational environments.
- Experience supporting data architecture initiatives and enterprise data or analytics platforms, including integration, alignment and reuse of enterprise data capabilities.
- Demonstrated ability to provide strategic and technical advice to governance forums, senior stakeholders, business owners and delivery teams.
- Knowledge of contemporary practices, trends and emerging capabilities in artificial intelligence, data architecture and enterprise analytics.
- Relevant industry certifications in enterprise archi

📌 AI and Data Architect (Melbourne)
🏢 Department of Education Victoria
📍 Melbourne