Technology Manager AI

• Employment Type: 24-month fixed term full time role
• Technology Manager AI within our AI and Innovation directorate within UNSW IT
• Attractive salary package available
• Location: Kensington campus in NSW (Hybrid Flexible Working) 2-3 days in the office

About UNSW:

UNSW isnt like other places youve worked. Were a large organisation with a diverse and talented community; a community doing extraordinary things. Together we are driven to be thoughtful practical and purposeful in all we do. Taking this combined approach is what makes our work matter. Its the reason were one of the top 50 universities in the world and a member of Australias prestigious Group of Eight. If you want a career where you can thrive be challenged and do meaningful work youre in the right place.

The Technology Manager AI will play a key leadership role across the AI technology platforms and is responsible for leading the development implementation and maintenance of artificial intelligence related technologies across the university. This role provides university-wide strategic leadership and delegated authority to ensure that AI systems are developed deployed secured aligned to strategic priorities and deliver measurable improvements to teaching research and administrative operations. The position focuses on managing internal and external technical AI resources platform operations and technology delivery performance including prioritisation of resources funding utilisation and capacity across the AI portfolio. It partners closely with the Product Manager and Enterprise Architect to ensure that AI initiatives are delivered safely responsibly and effectively in alignment with UNSWs technology and governance standards integrated across faculties divisions and enterprise programs. This position reports to the Head of AI Ecosystem and has direct reports.

Specific accountabilities for this role include:

• Influence and lead the internal AI technology delivery and platform operations teams to ensure secure resilient and compliant delivery of AI-enabled systems across Microsoft and AWS ecosystems across the university.
• Lead and deliver UNSWs AI platforms and operations aligned to the portfolio roadmap advancing platform evolution integration and service maturity while driving university-wide AI capability adoption and long-term investment aligned to strategic priorities.
• Provide strategic and expert technical leadership and advice to senior stakeholders on AI opportunities risks architectural options and investment priorities (including pilots/proofs of concept to scale decisions) influencing enterprise prioritisation funding and sequencing of AI initiatives.
• Implement own evolve and provide institutional leadership for governance compliance and assurance practices for AI services and platforms ensuring all work adheres to the UNSW AI Services & Governance Framework Responsible AI principles privacy and cybersecurity requirements.
• Establish and maintain service levels and operational excellence practices including SLAs/SLOs uptime targets incident/problem management operational monitoring and executive-level reporting to support enterprise risk management performance transparency and strategic decision-making.
• Implement best practice GenAIOps and LLMOps including evaluation observability model/service lifecycle management and continuous improvement of AI delivery pipelines and runtime operations. to enable scalable sustainable and institutionally governed AI operations.
• Foster strategic partnerships with the Product Manager (AI) to oversee portfolio delivery performance monitor milestones and dependencies and proactively manage risks and issues across AI initiatives to ensure alignment to program objectives and enterprise transformation priorities.
• Partner strategically with the Enterprise Architect (AI) to ensure all solution designs are fully aligned to enterprise architecture integration standards and approved architectural patterns reinforcing coherence and scalability across the AI ecosystem.
• Lead stakeholder engagement and change enablement translating complex technical concepts for non-technical audiences and supporting adoption through guidance enablement activities and capability uplift across faculties divisions and executive portfolios.
• Promote a culture of transparency ethics innovation and Responsible AI within the team including mentoring professional development and embedding institutional expectations for ethical and responsible AI use.

Who you are:

• Relevant tertiary qualification in Information Technology Engineering Computer Science Data/AI or equivalent experience.
• Demonstrated experience leading AI/ML or advanced technology delivery and operations teams in complex organisations with accountability for outcomes service performance and risk management at enterprise or multi-business unit scale.
• Proven ability to translate strategic goals into technical roadmaps and operational plans including platform maturity delivery standards and measurable service targets that support organisation wide transformation and capability uplift.
• Strong knowledge of AWS and Azure AI/ML and integration services (e.g. Power Platform Copilot Azure OpenAI Bedrock Data Factory API Management) including enterprise deployment patterns.
• Proven ability to manage operational performance and service quality including SLAs/SLOs observability incident/problem management capacity planning and continuous service improvement.
• Demonstrated ability to evaluate AI products and solutions (pilots proofs of concept and scale decisions) balancing value risk compliance and operational supportability whilst informing enterprise investment decisions.
• Excellent stakeholder management and collaboration skills across technical and non-technical teams including communicating complex technical topics clearly to senior audiences and influencing executive decision-making.
• Excellent communication and reporting skills including preparing operational summaries and updates for senior stakeholders.
• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Benefits and Culture

• Flexible Working Options (work from home flexible hours etc)
• 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 to Apply: please apply through the portal we would like you to submit a full application including resume and addressing the who you are section.

Applications close: Tuesday 31st of March at 11.30pm

Pre-Employment Checks
Aligned with UNSWs 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.

Get in Touch:

Jen MacLachlan

Talent Acquisition Partner UNSW IT

Please apply through the application portal and not via the contact above.

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. The University reserves the right not to proceed with any appointment.