IT Support

• Lead payment strategy development, including: Define the roadmap for payments optimization across autopay, retries, and cash-flow–based repayment strategies.
• Analyze behavioral, transactional, and paycheck forecast data to improve repayment prediction and reduce failed payments.
• Design and execute experiments to improve timing, routing, and success rates of payments while managing transaction costs.
• Partner with Data Science to refine our paycheck forecasting model and leverage it for dynamic payment scheduling.
• Own portfolio performance & analytics infrastructure: Develop and monitor KPIs for payment success rate, loss reduction, transaction costs, and customer repayment experience.
• Build dashboards, alerting, and diagnostic tools to monitor real-time payment health and flag deviations in behavior or performance.
• Maintain and evolve the analytics stack and pipelines supporting payments data and experimentation.
• Collaborate across teams to ship high-impact solutions: Work closely with Product and Engineering to implement strategies, data feeds, and decisioning systems that automate cash-flow–aware payments.
• Partner with Finance and Data Science to size trade-offs between payment success, transaction costs, and customer experience.
• Translate complex insights into actionable recommendations that influence leadership decisions and product roadmaps.
• Shape the future of payment intelligence: Develop a long-term vision for how Tilt leverages payment, paycheck, and customer behavior data to drive predictive and adaptive payment systems.
• Collaborate with Data Science and Engineering to design real-time intelligence loops that automatically adjust payment strategies based on user cash flow and engagement.
• Identify opportunities to integrate emerging data sources, infrastructure improvements, or modeling techniques that enhance repayment performance.
• Champion innovation and scalability — ensuring Tilt’s payment systems remain efficient, resilient, and future-proof as we scale.

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