Manager, Platform Development, Operations and AI

JOB.TITLE Data Analytics Centre (DAC) Clerk Grade: 11/12 Annual Salary Range: $154,231 - $178,369 + superannuation Employment Type: Ongoing, Full-time Location: Sydney Lead a multidisciplinary team delivering secure, scalable cloud, data and AI platforms. Shape engineering standards across Azure, APIs, DevOps, infrastructure as code and modern application delivery. Turn complex customer needs into reliable platforms and reusable whole-of-government capabilities. About the Data Analytics Centre The Data Analytics Centre helps NSW Government agencies use data, analytics and artificial intelligence to address complex policy and service-delivery challenges. We bring together trusted platforms, specialist expertise and practical innovation to help agencies deliver better outcomes for the people of NSW. The opportunity The Manager, Platform AI Engineering is a senior technical and people leadership role responsible for the engineering capability that underpins DAC platforms and customer solutions. You will lead engineers, set technical direction and remain close enough to delivery to guide architecture, resolve complex issues and ensure solutions are secure, reliable, scalable and supportable. You will work across cloud platforms, data services, software engineering and AI-enabled solutions, partnering with delivery teams, architects, security specialists, customers and vendors. The role balances strategic platform evolution with disciplined execution, operational resilience and measurable customer outcomes. What you will do Lead, coach and develop a high-performing platform engineering team, setting clear priorities, standards and accountabilities. Own the technical delivery of platform and customer solutions from design through build, release and transition to operations. Define and uplift engineering practices across solution architecture, secure coding, APIs, automated testing, source control, CI/CD and infrastructure as code. Guide the design and implementation of Azure-based cloud, data, application and AI services using reusable, supportable patterns. Ensure platforms remain secure, reliable and cost-effective through capacity planning, observability, performance management, vulnerability remediation and incident response. Embed appropriate security, privacy, data protection and AI assurance controls into engineering delivery. Manage technical risk, dependencies and trade-offs, escalating issues early and providing clear, practical recommendations to senior stakeholders. Partner with customers and internal teams to translate complex requirements into prioritised roadmaps and achievable delivery plans. Assess and onboard new technologies where they provide clear value and align with enterprise standards. Support workforce planning, recruitment, capability development and knowledge sharing across the broader DAC engineering community. Customise and refine LLM models and various ML models to solve business problems. What we are looking for Demonstrated experience leading platform, cloud, software or data engineering teams in a complex delivery environment. Strong hands-on technical foundation in Microsoft Azure and modern engineering practices, including APIs, DevOps, CI/CD and infrastructure as code. Experience delivering secure, scalable digital platforms or data and AI solutions, with a sound understanding of reliability, observability and operational support. Ability to provide pragmatic architecture and engineering leadership while balancing delivery speed, technical debt, security, cost and long-term sustainability. Proven people leadership, including coaching engineers, building capability, managing performance and creating an inclusive, accountable team culture. Strong stakeholder management skills and the ability to explain complex technical matters clearly to executives, customers and non-technical audiences. Experience working within governance, risk, security and compliance frameworks. Government or other highly regulated delivery experience will be well regarded. A commitment to continuous improvement, reuse and automation, with the judgement to evaluate emerging technologies and apply them responsibly. Capabilities that will be highly regarded Azure application and integration services, API management, networking and identity. Terraform, Bicep or comparable infrastructure-as-code tooling. GitHub or Azure DevOps, automated quality gates and secure software supply-chain practices. Python, TypeScript/Node.js, NEST.JS, REACT, and the Azure Agentic Framework or comparable modern development stacks. Data platforms, analytics engineering, containerisation and orchestration. Azure AI Foundry, responsible AI controls, agentic solutions or enterprise AI delivery. ISO 27001-aligned controls, privacy by design, data loss prevention and cloud security. Why join us This is an opportunity to lead at the intersection of data, platforms and AI, where your decisions will directly shape how government teams build, govern and operate digital capabilities. You will work with a talented multidisciplinary team, solve meaningful problems and help establish engineering patterns that can be reused across NSW Government. How to apply Submit a cover letter of no more than two pages and an up-to-date resume of no more than five pages. Your application should demonstrate how your experience aligns with the role and outcomes described above. Applicants invited to interview may be asked to complete additional assessments. There are no separate selection criteria to address.