Own portfolio-level technical programs spanning product, engineering, GTM, finance, legal, security, and IT. Lead complex launches, migrations, integrations, monetization initiatives, and enterprise transformations; resolve ambiguity, manage dependencies and risks, influence executives, establish governance mechanisms, measure business impact, and mentor program managers. The role requires driving outcomes across multiple teams and time horizons without formal authority.

Lead development of Atlassian’s Digital Success OS by defining data foundations, telemetry pipelines, AI-agent signals, journey orchestration, and digital-to-human handoffs. Partner with data engineering, analytics, data science, AI, RevOps, and customer success teams to operationalize customer plays, predictive models, experimentation, measurement, and feedback loops. Own cross-functional decisions, architecture principles, dependencies, and change control while improving adoption, engagement, churn-risk detection, agent effectiveness, and customer outcomes at scale.

Lead technical programs for Core Data Services and infrastructure, translating business objectives into prioritized systems initiatives. Define plans, manage scope, dependencies, budgets, schedules, and forecasts, and guide programs through their full lifecycle. Partner with engineers and architects to improve reliability and develop cost-effective disaster recovery solutions across Atlassian services.