Lead Airwallex’s global product-led growth measurement and operating systems. Own funnel and customer journey analytics across acquisition, onboarding, activation, transactions, retention, and expansion. Build KPI frameworks, dashboards, experimentation processes, tracking standards, QA systems, and performance reviews. Partner cross-functionally to improve CRM, marketing automation, customer data, attribution, and reporting. Translate ambiguous growth priorities into measurable outcomes and scalable execution.

Leads and grows a data platform engineering team responsible for high-volume financial data ingestion, Databricks lakehouse architecture, canonical financial models, orchestration, streaming, reliability, and infrastructure. Drives migrations from legacy pipelines, establishes data quality and platform standards, optimizes performance and costs, and partners with product, accounting, ML, and infrastructure teams to deliver scalable, auditable financial systems.

Design and implement scalable data models and ETL pipelines (batch and streaming), ensure data quality/SSOT, collaborate with product and platform teams to resolve issues, contribute to data governance, and explore practical integrations between data engineering and AI.