Key Responsibilities

- Define enterprise AI, Data, and Digital Architecture strategy

- Develop target architecture and transformation roadmap

- Lead AI/GenAI adoption (LLMs, RAG, Copilot ecosystems)

- Architect modern data platforms (lakehouse, real-time, data mesh)

- Establish AI governance, data governance, and security frameworks

- Drive DevOps / DevSecOps adoption with GitHub-led practices

- Define cloud and platform strategy across hybrid/multi-cloud

- Act as trusted advisor to CIO/CDO/business leadership

Must-Have Experience

- 15+ years in IT with Enterprise Architect experience

- Strong AI/ML and Generative AI exposure (LLMs, RAG, MLOps)

- Experience in enterprise data platforms (lakehouse, analytics)

- Proven track record in large-scale transformation programs

- Experience with architecture frameworks (TOGAF or similar)

- Strong understanding of data and AI governance

Technology Expectations





- Microsoft ecosystem (Azure, Fabric/Synapse, Copilot, Power Platform)

- Multi-cloud exposure (AWS/GCP)

- GitHub, CI/CD, Infrastructure as Code

- DevOps / DevSecOps practices

- Containers / Kubernetes

Nice to Have

- Experience in Energy/Utilities/Transport domains

- Exposure to Snowflake, Databricks, open AI ecosystems

- Experience in product-centric/platform operating models

Profile Target

- Strategic and hands-on architect

- Robust AI & Data-first mindset

- Comfortable with CXO stakeholders

- Vendor-neutral approach with Microsoft strength

- Focus on execution, not just governance

Location

Sydney

Job Function

TECHNOLOGY

Role

Lead

Job Id

418054

Desired Skills

Artificial Intelligence | Azure

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