Senior Manager, Data Science – Payments & Treasury

Gusto, Inc. • Los Angeles, CA

2d • $218,000 - $321,000 • Hybrid

About The Position

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy. About the Role: Gusto’s Data Science team leverages our rich data to shape product strategy and inform critical business decisions. We operate end-to-end — from analysis and experimentation to enabling production systems that support both internal teams and our customers. For this role, we’re seeking a Senior Manager, Data Science to provide technical and strategic leadership across the payments and treasury domains. You will lead teams responsible for building scalable, data-driven capabilities that support money movement, liquidity management, and payment reliability, while applying machine learning and analytics where they meaningfully add value. Experience with risk is a plus, but the primary focus of this role is payments and treasury. You’ll partner closely with established leaders across Engineering, Product, Design, Operations, and Finance/Treasury to drive cross-functional alignment and execution. In this role, you’ll own initiatives that span the breadth of the payments and treasury stack, setting direction, guiding teams, and ensuring we deliver a secure, reliable, and trusted financial platform that safeguards customer funds and supports Gusto’s growing ecosystem.

Requirements

• 10+ years of experience in data science, analytics, or a related quantitative field, including 4+ years leading and scaling data science teams, with accountability for hiring, developing senior ICs, and owning outcomes across one or more business-critical domains.
• Domain analytics and experimentation leadership — deep experience driving insights and decisions across payments, treasury, and risk domains (e.g., loss, fraud, disputes, authorization rates, funds flow, liquidity, and operational risk), with strong command of experimentation, causal analysis, and tradeoff evaluation in regulated, high-impact environments.
• Technical and analytical leadership — strong grounding in statistics and applied modeling, with the ability to set technical standards, review complex analyses, and coach senior data scientists, maintaining a high bar for analytical rigor and quality.
• Strategic business impact — demonstrated ability to translate ambiguous problems into data strategy, influence multi-quarter product and platform roadmaps, and connect insights to measurable business outcomes.
• Executive communication and cross-functional influence — proven experience partnering with VP-level and senior leaders across Product, Engineering, Ops and Finance teams, translating complex data into clear tradeoffs and actionable recommendations that drive decisions.

Responsibilities

• Lead the strategy and application of machine learning and advanced analytics across payments and treasury, including identifying opportunities, framing problems with stakeholders, defining success criteria, and guiding teams to deliver scalable, data-driven solutions; experience with risk use cases is a plus.
• Own end-to-end delivery and cross-functional execution, partnering closely with Engineering, Product, and Design to solve complex, ambiguous problems and ensure solutions are production-ready, well-instrumented, and operationally sound.
• Set technical standards and scalable frameworks that elevate the team’s core analytical and modeling capabilities, including reusable tooling and thoughtful integration of AI/LLMs where they meaningfully improve data processing, analysis, or decision-making.
• Communicate insights, tradeoffs, and recommendations clearly to stakeholders across the company, influencing decisions through strong narratives grounded in data and business context.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees