Rippling · 13 hours ago
Senior Manager, Payment Products - Data Science & Analytics
San Francisco, CA
Full-time
Onsite
Senior Level, Lead/Staff
$180K/yr - $315K/yr
8+ years expRippling is a company that provides a unified platform for HR, IT, and Finance. They are seeking a Senior Manager for Payment Products in Data Science & Analytics to lead a team in designing and maintaining services for processing financial data, ensuring accuracy and compliance across their payment ecosystem.
EmploymentHuman Resources
Responsibilities
Own the Data Strategy: Define and execute the long-term vision and roadmap for Rippling’s payment data ecosystem, ensuring it scales alongside our rapidly expanding product suite
Architect Financial Integrity: Design and maintain the data foundation for all money movement—including payroll, taxes, and benefits—ensuring 100% accuracy and "single source of truth" reliability
Automate Reconciliation: Build sophisticated, automated systems to reconcile millions of daily transactions, reducing manual intervention and accelerating the financial close process
Engineer for Auditability: Develop "audit-ready" data architectures and rigorous documentation that satisfy both internal controls and external regulatory requirements
Partner Cross-Functionally: Act as the technical bridge between Product, Engineering, and Finance, translating complex regulatory and accounting needs into durable technical requirements
Optimize Data Pipelines: Oversee the health and performance of end-to-end ELT pipelines, ensuring data is not only accurate but highly performant and accessible for real-time decision-making
Drive AI Innovation: Identify opportunities to leverage AI and advanced modeling to detect payment anomalies, predict cash flow trends, and optimize money movement efficiency
Build & Mentor: Lead a high-performing team of data scientists and analysts, fostering a culture of technical excellence, accountability, and a "bias for action
Qualification
Required
8+ years of experience in Data Engineering, Analytics, or Financial Systems. Fintech or SaaS experience is a must, specifically dealing with complex 'multi-hop' payment flows (e.g., Ledgering, Sub-ledgers, and flow-of-funds)
Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent technical experience
Mastery of SQL and Python is non-negotiable. Deep expertise in modern data stack tools like dbt, Snowflake/BigQuery, and Airflow to set the technical bar for the team
Proven ability to design data models that reflect GAAP accounting principles, automated bank reconciliations, and regulatory reporting requirements
Demonstrated success in building a data function from the ground up, moving from reactive to a proactive, multi-quarter strategic roadmap
The ability to 'speak three languages': Technical (Engineering), Financial (Accounting/Compliance), and Strategic (Product Leaders)
A relentless focus on data integrity. You understand that in payments data, a 99% accuracy rate is a failure—it must be 100%
Experience building scalable data pipelines that can handle the surge of millions of transactions without manual intervention
Benefits
Competitive salary
Benefits
Equity
Company
Rippling
Rippling is a workforce management platform that unifies HR, IT, and finance operations into a single system.
1001-5000 employees
H1B Sponsorship
Rippling has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (42)
2023 (70)
2022 (81)
2021 (33)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$2.44BKey Investors
CoatueGreenoaksFounders Fund
2025-05-09Series G· $450M
2024-04-22Series F· $200M
2024-04-22Secondary Market· $590M
Leadership Team
Albert Strasheim
Chief Technology Officer
Adil Syed
CFO
Recent News
Soma Capital
2026-01-06
2026-01-03
2025-12-29
Company data provided by crunchbase