Top Data & Analytics Jobs in Melbourne, VIC

Lead data and AI governance initiatives by evolving governance frameworks, creating practical guidance, delivering literacy programs, and partnering with technical, privacy, regulatory, risk, and business teams. The role focuses on responsible AI adoption, data stewardship, quality, lineage, transparency, explainability, bias mitigation, regulatory alignment, and translating policy into scalable technical and operational practices.

Own the data and analytics enablement roadmap for corporate functions, including certified data sources, dashboards, metric definitions, governance guardrails, and self-service practices. Partner with Finance, HR, and central Data teams to increase adoption and embed analytics into decision-making. Design capability-building programs, improve data and AI literacy, track adoption outcomes, and promote responsible data use across the organization.

Own the data and analytics enablement roadmap for G&A teams, defining self-service guardrails, approved data sources, certified dashboards, and metric standards. Partner with Finance, HR, and central Data, BI, and Governance teams to drive adoption, improve data and AI literacy, and embed analytics into decision-making. Design learning pathways, track usage and outcome metrics, and mentor analysts and business users.

Own the data and analytics enablement roadmap for G&A teams, establishing approved data sources, certified dashboards, metric definitions, and self-service guardrails. Partner with Finance, HR, Data, BI, and Governance leaders to improve data adoption and confidence. Design capability-building programs, translate complex concepts into practical guidance, track adoption and outcomes, mentor analysts and users, and promote responsible AI and data use.

Lead a distributed data engineering team to design, build, and maintain core data models and real-time data flows on an AWS/Snowflake platform. Balance strategic architecture and hands-on delivery, manage risks and dependencies, establish SLOs and DataOps practices, and coach senior engineers to improve platform quality and performance.