Director

• Own analytics strategy and insights for global payments performance, including success rates, cost per transaction, partner performance, and operational efficiency.
• Lead data-driven experimentation and optimization efforts related to payment method selection, routing, retry strategies, and settlement flows.
• Develop dashboards and frameworks to track KPIs, support product and finance decisions, and monitor trends across markets.
• Build and deploy models that inform routing, retry logic, and payment prioritization based on factors such as cost, speed, method availability, and past performance.
• Design decisioning frameworks that use transaction-level intelligence to optimize throughput and customer outcomes.
• Partner with Product and Engineering (and Chief Data Officer function) to integrate models and business rules into real-time decisioning infrastructure.
• Define the data architecture and requirements to enable comprehensive, accurate, and scalable payments data pipelines.
• Work with Data Engineering to ensure high-quality structured datasets that power both real-time and offline analytics.
• Establish a unified data model across payment types (cards, bank transfers, wallets, etc.) and regions.
• Act as the primary data science partner to the Payments Product team, contributing to roadmap planning and product strategy.
• Collaborate with Engineering, Operations, Finance, and Partner Management to align insights with business goals.
• Build, manage, and mentor a team of data scientists and analysts focused on payment analytics.

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