Top Tech Jobs & Startup Jobs in Melbourne

Leads two database reliability engineering teams across Australia and New Zealand. Owns database infrastructure modernization, AI DBA platform delivery, migrations to Amazon RDS, and transition from SQL Server to Aurora Postgres. Coaches experienced engineers, manages large-scale technical transformations, improves incident response and database operations, and partners with product and technical teams to enable greater database ownership.

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.

Owns customer-facing incident management from investigation and impact assessment through resolution and post-incident reviews. Coordinates engineering, product, support, leadership, and regional teams during major and minor incidents; manages stakeholder communications; leads short- and long-term remediation; and improves incident processes, registers, and prevention strategies to reduce recurrence and customer disruption.

Build and operate AI enablement platforms, internal skills marketplaces, and AI tool distribution systems used by engineering teams. Develop agent skills and remediation agents, establish AI engineering best practices, and manage production reliability through monitoring, runbooks, and rollback planning. Collaborate with AWS, Microsoft, and GitHub on early-access technologies while influencing technical direction and supporting a growing AI-focused team.

Provides global legal and regulatory counsel on payments, financial services, financial crime, AML/CTF, sanctions, and AFSL obligations. Advises product, risk, and strategy teams across Australia, the US, and UK; supports new payment models and market expansion; liaises with regulators; leads regulatory projects; and mentors junior legal team members.

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 Xero’s global Paid Search program by building AI-powered automation, bidding, optimization, reporting, and workflow systems. Partner with Data Science, Marketing Technology, Product, CRO, and Performance Marketing teams to improve SEM scalability and decision-making. Explore emerging search technologies, validate automated solutions, translate technical concepts for senior stakeholders, and mentor SEM specialists while driving measurable commercial growth.

Leads Xero’s global data science, analytics, ML, and AI strategy across multiple product areas. The role manages and scales a multidisciplinary organization, advises executive leadership, oversees AI governance, model risk, data quality, privacy, experimentation, and enterprise data architecture, and drives AI-powered products including chatbots and agentic workflows. It also establishes operating models, develops leaders, manages strategic risks, and partners cross-functionally to deliver company-wide data and AI impact.