Head Of BI, Global Growth

Growth Data Analytics Leader

This role leads a multi-market Growth Data Analytics organization supporting the United States, Canada, Japan, Australia, New Zealand, Malaysia, Singapore, and Hong Kong, working closely with data engineering/data platform teams to scale global metrics, governance, and analytics capabilities.

This position will elevate market-level analytics into a scalable global growth analytics system. The leader will standardize growth definitions and measurement, build experimentation and incrementality practices, improve data analysis ability & delivery efficiency, and drive measurable impact on the KPI metrics.

Growth KPI & Growth Operating System

• Own and continuously optimize a global growth measurement framework centered on Paying Client and AUM, including a complete funnel and leading-indicator "metric tree" across acquisition → onboarding/account opening → funding → trading.

• Lead high-impact growth problem diagnosis and translate insights into actionable strategy (channel mix, funnel conversion optimization, customer segmentation, and lifecycle strategy), partnering cross-functionally to execute and iterate.

Experimentation & Incrementality (From Correlation to Causality)

• Design and operationalize a multi-market experimentation and incrementality measurement program (A/B tests, holdouts, phased rollouts, geo-based tests, quasi-experiments), evaluating the incremental impact of marketing, product, and lifecycle initiatives on Paying Client and AUM.

• Establish standardized experiment design templates, evaluation standards, power/contamination controls, and a consistent review/retro process to improve decision quality and learning velocity.

Global Metrics Standardization & Self-Serve Analytics

• Lead the development of global metric definitions (Metric Dictionary / Semantic Layer) and governance mechanisms (data quality monitoring, lineage, reconciliation, permissions and auditability), reducing cross-market definition drift and reporting disputes.

• Partner with data platform/engineering to productize analytics (core dashboards, self-serve reporting, metric services), materially improving turnaround time and reducing repetitive ad hoc requests.

Multi-Time-Zone Matrix Leadership & Talent Development

• Lead and develop a distributed team of market analytics squads; implement a consistent operating cadence (OKRs/QBRs, weekly business reviews, experiment reviews, post-mortems).

• Build a robust talent pipeline and capability standards (hiring, coaching, performance management), enabling a "global methodology + local insight" model at scale.

Compliance, Privacy & Cross-Border Data Collaboration

• Partner with Legal/Compliance/Privacy to ensure analytics practices meet multi-jurisdictional requirements (data minimization, access control, auditability, data residency and cross-border restrictions).

• Design practical measurement approaches that remain effective under regulatory constraints (e.g., local computation with global aggregation).