Lead BI, AI and Analytic Engineer

Candidate Description

Specialising in production AI systems and enterprise data platforms, the candidate brings 15+ years of experience spanning data, analytics and financial advisory. Their experience covers government, financial services, retail, media and SaaS delivery. They combine hands-on LLM engineering, agentic automation and RAG architecture with strong Microsoft Fabric, Azure Synapse, Snowflake, Databricks and GCP capabilities. At a grocery retailer, they lead BI, AI and analytics engineering for a Retail Media Network initiative. As co-founder of a consulting firm, they deliver AI systems, automation and data strategy for SME and enterprise clients. Their financial-services background adds commercial judgement, regulatory awareness and a strong understanding of investment performance and executive reporting.

Grounded AI delivery is a defining strength, from governed semantic models to deterministic safeguards around financial content. At a consulting firm, they automated a client newsletter through Microsoft Fabric and Azure AI Foundry and shipped a bilingual financial-media pipeline that keeps financial calculations outside the LLM. They also launched an AI-powered certification-preparation SaaS platform covering 46+ IT, cloud and data certifications and designed a multi-provider agent orchestration engine using streaming APIs, MCP and OAuth integrations. For a state government agency, they implemented Fabric medallion architecture and delivered 20+ executive dashboards and reports, alongside natural-language analytics using Snowflake Cortex AI, Copilot Studio and Azure AI Foundry. Their engineering practice includes Python, SQL, PySpark, dbt, GitHub Actions CI/CD, automated testing and specification-to-release delivery. At a superannuation fund, they automated investment reporting and regulatory analytics across a diversified $12B+ portfolio.

Their leadership combines architecture ownership, stakeholder collaboration and practical team development. At a state government agency, they mentored 5+ analysts and developers across Power BI, Microsoft Fabric, Snowflake and modern AI tools. They work effectively with marketing teams, data scientists, external partners, vendors, executives, compliance and legal stakeholders. Adaptability is demonstrated through retail-media analytics, investment reporting, SaaS engineering and advisory-only AI architecture for structural engineering. Their credentials span Azure AI, Fabric analytics and data engineering, Databricks, Snowflake and Power BI, complemented by postgraduate finance education. Based in Sydney, this Australian citizen is immediately available and offers a commercially grounded blend of production engineering, responsible AI design and enterprise analytics leadership.