Lead Enterprise Data & AI Architect

AGL; City of Melbourne; Hybrid; AUD 180,000 - 270,000; Full time

Benefits offered by this job

Flexible working

Staff discounts

Parental Leave

Recharge Leave

Wellbeing programs

AGL Shares

Job summary

AGL is seeking a Principal Data & AI Architect to provide strategic leadership across our enterprise landscape in Australia. You will shape Data & AI architecture direction, partnering with senior leaders to define frameworks, platforms, and guardrails for trusted, scalable outcomes.

You will play a critical role in simplifying complexity, guiding investments, and driving responsible adoption of modern Data & AI capabilities across the organisation.

Qualifications

• Deep expertise across data & AI technologies and architecture.
• Experience shaping enterprise data & AI strategies and roadmaps.
• Strong governance, security and model governance knowledge.

Responsibilities

• Define and lead enterprise Data & AI architecture strategy.
• Establish governance frameworks for scalable solutions.
• Translate priorities into architecture roadmaps and investment decisions.
• Lead complex Data & AI initiatives aligned with platforms and AI practices.
• Provide guidance translating tech concepts into business opportunities.
• Strengthen data quality, lineage, privacy and AI model management.
• Identify opportunities for productivity, reuse and value.
• Coach architects and delivery teams to uplift capability.
• Monitor emerging tech and industry trends for adoption.

Skills

Enterprise architecture

Data & AI

GenAI

AI/ML

Databricks

Azure data services

Governance

Stakeholder management

Cloud security

Leadership

Tools

Databricks

Microsoft Fabric

Azure

Job description

AGL is seeking a Principal Data & AI Architect to provide strategic leadership across our enterprise landscape in Australia. You will shape Data & AI architecture direction, partnering with senior leaders to define frameworks, platforms, and guardrails for trusted, scalable outcomes.

You will play a critical role in simplifying complexity, guiding investments, and driving responsible adoption of modern Data & AI capabilities across the organisation.