Teams at Qantas

Leads the enterprise semantic layer and certified data models, establishing consistent business definitions, metrics, data standards, and governance practices. Partners with business and technical stakeholders to improve data quality, accessibility, and reliability. Oversees data modeling, testing, certification, documentation, and Power BI reporting capabilities while supporting self-service analytics and AI-driven decision-making. Facilitates cross-functional forums, resolves conflicting definitions, and guides best practices in analytics engineering and data management.

Leads Jetstar’s enterprise data platform engineering and modelling capability. Oversees Snowflake and AWS environments, data pipelines, transformation, modelling, reliability, resilience, performance, security, cost, incident management, and disaster recovery. Leads multidisciplinary engineering teams, sets technical standards, develops specialist talent, and guides DevOps and MLOps practices. Partners with vendors and senior stakeholders while translating complex technical, risk, and commercial considerations into platform decisions.

Build and support analytics products for engineering teams using Skywise, Palantir Foundry, Power BI, data pipelines, dashboards, applications, and semantic models. Responsibilities include translating stakeholder needs into scalable reports, developing Power Query and DAX calculations, integrating Oracle and SharePoint data, writing SQL and Python/PySpark transformations, supporting user acceptance testing, and documenting data models and dependencies.