Enterprise Data and AI Architect

About the role

APRA is looking for a collaborative, growth-oriented Enterprise Data & AI Architect to help shape how data and AI come together across the organisation. Working with data, platform, security and delivery teams, the role guides the move toward a strategic cloud data platform, defining roadmaps, transition patterns and technology choices that keep data governed, trusted and fit for use. The role sits in the Enterprise Architecture team, reporting to the Head of Architecture, and is hybrid.

Key responsibilities

• Shape the target-state architecture and roadmaps for data and AI across on-premises and cloud environments
• Give early architectural input on significant initiatives and advise on migration and consolidation approaches
• Develop reference architectures, patterns and guardrails for data platforms, data products and AI solutions, including generative AI with responsible-AI, privacy and security built in
• Define architecture and patterns supporting data governance (quality, metadata, lineage, cataloguing, master data)
• Co-design and review major data and AI solutions with solution architects and delivery teams
• Partner with security, privacy and governance colleagues to reflect security, privacy, risk and compliance obligations
• Act as a trusted adviser to delivery teams and senior stakeholders, and help improve architecture and technical governance practices

Required profile

• Australian citizen eligible for a security clearance
• Extensive experience as a data and AI architect at an organisation-wide level, with a track record of models, patterns and roadmaps teams have adopted
• Experience in financial services, prudential regulation or a similarly regulated environment, including APRA standards such as CPS 230 and CPS 234
• Ability to balance strategic thinking with hands-on architecture, and strong communication and collaboration skills

Required skills

• Data architecture across hybrid environments: Oracle, SQL Server, NoSQL, vector stores and a modern cloud lakehouse
• Azure data and AI platforms, including Azure Databricks and Azure AI Foundry
• Data governance and master data management (quality, metadata, lineage, cataloguing)
• Understanding of data integration across on-premises, cloud and SaaS sources, including ServiceNow and Dynamics 365
• Knowledge of Australian Government security frameworks (Information Security Manual, Protective Security Policy Framework)