Data Science Manager, Payment Performance & Insights

You will serve as the technical anchor for the newly created Payment Performance & Insights team. Working directly with the VP and other payment leaders, you will be the bridge between complex, raw transactional data and strategic executive decisions.

This is a "full-stack" analytical role. You are someone who is equally at ease writing highly optimized SQL and dbt pipelines to transform raw datasets, configuring LookML backends to empower self-serve reporting, and designing rigorous statistical frameworks for pricing, product, and monetization experiments. You will have a massive influence on unlocking the power of our data and accelerating decision velocity.

What you’ll do

Data Foundations, Modeling & Dashboards

Architect, build and maintain efficient and reliable data products (dbt models, pipelines, Looker explores etc.) that enable data driven decision making.

Partner with Flywire’s centralized Data & Analytics team to build our core payment data assets and to consolidate sources of truth and eliminate fragmented business logic.

You will design the semantic layer so key business KPIs are defined once, governed clearly, and consumed consistently across dashboards and models.

Leverage Gen AI and modern analytics tooling to accelerate data discovery, automate documentation, and optimize pipeline maintenance.

Experimentation & Testing

Define and own Flywire’s core payment experimentation methodology, setting standards for sample sizing, statistical power, and significance.

Partner with the Monetization and Experience Product teams to design, implement, and interpret A/B tests on pricing, FX rates, and payer behavior.

Apply advanced statistical techniques to extract the signal from noise in data that can often be highly skewed.

Anomaly Detection & First Line of Defense

Develop alerting models to spot anomalies in FX rates, margin shifts, volume mix shifts, card authorization rates, and cost structures.