1 day ago

Principal Architect - Enterprise Data & AI

AGL

Docklands

1 day ago

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AGL is seeking a Principal Data & AI Architect to provide strategic leadership across its enterprise landscape. The role involves defining architecture strategy, establishing standards, and partnering with senior leaders to drive trusted, scalable Data & AI outcomes. Requires extensive experience in enterprise architecture, modern Data & AI technologies, and strong stakeholder engagement.

AI-enabledRemoteFull-timePrincipalEnterprise ArchitectureData Architecture

Principal Architect - Enterprise Data & AI

Apply

AI-enabledRemoteFull-timePrincipalEnterprise Architecture

Salary

Not specified

Work Location

Docklands, Victoria, Australia, AU

Work Model

Remote

Employment Type

Full-time

Experience Level

Principal

Core Qualifications

Technical (Must-have)

Enterprise ArchitectureData ArchitectureAI ArchitectureLakehouse ArchitecturesData ProductsAI/MLGenAIDatabricksMicrosoft FabricAzure Data ServicesData GovernancePrivacySecurityModel GovernanceMLOps

Soft Skills

Stakeholder EngagementInfluenceCoachingMentoringCollaborationCommunication

Preferred Qualifications

Technical (Nice-to-have)

AzureDatabricksData ManagementAI

Key Responsibilities

•Define and lead AGL's enterprise Data & AI architecture strategy across data platforms, analytics, AI/ML, GenAI, data products and integration services.
•Establish architecture standards, reference architectures and governance frameworks that enable secure, scalable and reusable solutions.
•Partner with senior business and technology leaders to translate strategic priorities into architecture roadmaps, investment decisions and business outcomes.
•Lead architecture for complex Data & AI initiatives, ensuring alignment with enterprise platforms, business capabilities and responsible AI practices.
•Provide expert guidance to senior stakeholders by translating technical concepts into clear business opportunities, risks and recommendations.
•Strengthen governance across data quality, lineage, metadata, privacy, security, stewardship and AI model management.
•Drive platform and capability investment decisions by identifying opportunities for increased productivity, reuse and business value.
•Coach and mentor architects, engineers and delivery teams, uplifting enterprise architecture capability and modern Data & AI practices.
•Monitor emerging technologies and industry trends, assessing how new capabilities can be leveraged across AGL.

Principal ArchitectData & AIEnterprise ArchitectureEnergyUtilitiesAzureDatabricksGenAIMLOpsRemote

Core Qualifications

Technical (Must-have)

Enterprise ArchitectureData ArchitectureAI ArchitectureLakehouse ArchitecturesData ProductsAI/MLGenAIDatabricksMicrosoft FabricAzure Data ServicesData GovernancePrivacySecurityModel GovernanceMLOps

Soft Skills

Stakeholder EngagementInfluenceCoachingMentoringCollaborationCommunication

Key Responsibilities

•Define and lead AGL's enterprise Data & AI architecture strategy across data platforms, analytics, AI/ML, GenAI, data products and integration services.

•Establish architecture standards, reference architectures and governance frameworks that enable secure, scalable and reusable solutions.

•Partner with senior business and technology leaders to translate strategic priorities into architecture roadmaps, investment decisions and business outcomes.

•Lead architecture for complex Data & AI initiatives, ensuring alignment with enterprise platforms, business capabilities and responsible AI practices.

•Provide expert guidance to senior stakeholders by translating technical concepts into clear business opportunities, risks and recommendations.

•Strengthen governance across data quality, lineage, metadata, privacy, security, stewardship and AI model management.

•Drive platform and capability investment decisions by identifying opportunities for increased productivity, reuse and business value.

•Coach and mentor architects, engineers and delivery teams, uplifting enterprise architecture capability and modern Data & AI practices.

•Monitor emerging technologies and industry trends, assessing how new capabilities can be leveraged across AGL.