Manager Data & AI Platform Engineering

Manager Data AI Platform Engineering Branch Division: Strategy, Policy Delivery/ Regulatory Intelligence, Data Insights Location: CBD/Parramatta. Hybrid working arrangements, 2 days per week in office (split across CBD and Parramatta offices), 3 days per week WFH. Employment type: Ongoing Grade: Clerk Grade 11/12 Salary: $154,231 - $178,369 + super Do you want to make a difference to the NSW community?

NSW Fair Trading is embarking on a major program of work to transition to agentic data engineering and analytics. The Manager Data AI Platform Engineering will be responsible for architecting a data model, and cloud data platform, to enable agentic data engineering, analytics and science workflows. In this role you’ll own the platform target state architecture and roadmap.

You’ll lead a small team to design and implement major uplifts in security, identity, deployment, and agent orchestration across our platform, supported by a team of 5. This is a rare opportunity to experiment and learn on the cutting edge of technology. You’ll be asked to continuously find new and better ways of doing things. You’ll have a high degree of autonomy, and will be accountable for playing a strategic leadership role in the Directorate. If you’re someone who’s driven to understand how things work, to learn, and to make change happen fast, get in touch.

About the team

Regulatory Intelligence, Data Insights Your day-to-day Design and implement initiatives to continuously improve security, governance and observability of an Azure and Snowflake based data platform. Set and continuously improve Dev. Sec. Ops practices across the team. Oversee the implementation and maintenance of deployment pipelines for data pipelines, machine learning models and user-facing web applications.

Oversee the design and implementation of data pipelines. Manage the Design and implement agentic workflows for ingestion, data quality management, and BAU data analytics tasks. Design and implement ways to effectively monitor, deploy, and manage context for AI agents across the Directorate. To be successful in this role you will: Be driven to achieve excellence and comfortable with a fast pace of change Enjoy learning and experimentation, and always be willing to ask whether there’s a better way to do something Have implemented DevOps/DevSecOps transformations in the past Have a strong understanding of cloud security best practices Be familiar with common data ingestion and transformation patterns.

Direct experience with Snowflake and Azure are not essential. The successful candidate will be a strong communicator. Candidates with prior experience outside the technology sector are encouraged to apply. What we need from you: To apply, submit an up-to-date resume (5 pages maximum) and cover letter (2 pages maximum) highlighting your experience and why you are perfect for this role.