Technology Manager – AI

at UNSW Sydney, Sydney, Australia

Listed on EduAtlas: live school vacancies from schools’ own careers pages and public job services. Apply on careers.pageuppeople.com.

Salary

Not given in the advert

Closing date

24 November 2026

Start

Not given in the advert

Contract

Full Time

Visa sponsorship

Not offered
The advert says: “Please note: Sponsorship is not available for this role; valid Australian working rights are required on application .”

First seen

10 November 2026, on a public job listing

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The advert

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 isn’t like other places you’ve worked. We’re 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. It’s the reason we’re one of the top 50 universities in the world and a member of Australia’s prestigious Group of Eight. If you want a career where you can thrive, be challenged and do meaningful work, you’re 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 UNSW’s 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 UNSW’s 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 Additional 3 days of leave over Christmas period Discounts and entitlements (retail, education, fitness) For further details on the benefits, please visit https://www.jobs.unsw.edu.au/lifestyle-benefits To apply: Please submit your CV, Cover Letter and responses addressing the required Who you are criteria. Please note: Sponsorship is not available for this role; valid Australian working rights are required on application . Pre-Employment Checks As part of our recruitment process candidates may be required to undergo pre-employment screening, which may include reference checks, qualification verification, right-to-work verification, and criminal history screening where relevant to the role. Contact: Jen Mac Lachlan - Talent Acquisition Partner- e: j.maclachlan@unsw.edu.au Please apply through the application portal as we do not accept direct applications to the email above. Applications close : Tuesday 24th of November 11.30pm 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.

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