| Sydney, New South WalesMelbourne City, Victoria
Job Summary
Data & AI Principal & Solution SME
Key Responsibilities
Data & AI Principal & Solution SME
Key Responsibilities
Define and drive enterprise Data & AI strategy, architecture, and transformation roadmaps.
Partner with C-level stakeholders to align AI and data initiatives with business outcomes.
Architect scalable Data, Analytics, AI/ML, and Generative AI solutions across cloud and hybrid environments.
Lead the design of modern data platforms, including Lakehouse, Data Fabric, Data Mesh, and AI-enabled architectures.
Establish architecture standards, governance, security, compliance, and Responsible AI practices.
Drive AI innovation leveraging LLMs, RAG, AI Agents, MLOps, and LLMOps frameworks.
Lead discovery workshops, architecture assessments, solution design, and implementation roadmaps.
Provide technical leadership across delivery, presales, and client engagements.
Mentor architects and engineering teams while promoting best practices and reusable assets.
Skill Requirements
Data Platforms: Analytics and AI-ready Strategy/Solutions across AWS, Azure, GCP, Databricks, Snowflake, and other modern data platform ecosystems.
AI & GenAI: Azure OpenAI, LLMs, RAG, AI Agents, Vector Databases, Prompt Engineering, AI Governance.
Data & Analytics: Data Warehousing, Lakehouse, Data Engineering, Real-Time Analytics, BI, DataOps, MLOps, Python, SQL, Spark.
Cloud & Architecture: Azure (preferred), AWS, GCP, Enterprise Architecture, API-led Integration, Microservices, DevSecOps.
Leadership & Success Measures
Executive presence, strategic thinking, and stakeholder influence.
Successful delivery of Data & AI transformation programs and business value realization.
Strong governance, architecture quality, innovation, client satisfaction, and revenue contribution.
Other Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
15+ years of experience in Data, Analytics, AI, Cloud, or Enterprise Architecture.
8+ years leading enterprise-scale architecture and transformation programs.
Proven success delivering data modernization, analytics, and AI initiatives.
Strong executive stakeholder management, consulting, and communication skills.
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