Data Science Manager, Risk

About the team

The Data Science and Analytics organization at Stripe partners with teams across the company to drive rigorous, data-informed decision-making at scale. Within this org, the Verifications and Greater China data teams deliver critical analytical and data science work—from identity verification and risk modeling to market-specific growth insights—that directly shapes Stripe's ability to serve users safely and expand into new markets.

Today, the team comprises individual contributors distributed across Singapore and India, supporting two high-impact pillars. We're looking for a founding Data Science Manager based in Bengaluru to build and lead this growing regional footprint from the ground up.

What you'll do

This is a rare 0 → 1 leadership role with a dual mandate.

Pillar 1—Direct Team Leadership

• Manage a team of Data Scientists and Data Analysts (currently 4 individual contributors across India and Singapore) spanning the Verifications and Greater China workstreams.
• Own roadmap prioritization, execution quality, and stakeholder alignment for both workstreams.
• Drive hiring for open and future roles in India, building a high-caliber data team in a competitive talent market.
• Foster individual contributor growth through real-time coaching, mentorship, career development, and performance management.

Pillar 2—Regional Data Craft Lead (India Office)

• Serve as the founding data craft leader for Stripe's India office. Set quality standards, establish community rituals (knowledge sharing, peer reviews, office hours), and cultivate a strong local data culture.
• Act as the go-to point of contact for data craft standards, tooling, and best practices for co-located analysts, even those outside your direct reporting line.
• Partner with managers and leads across the broader Data org to ensure consistency in methodology, tooling, and quality bar.
• Support onboarding and integration of new data hires in the Bengaluru office.
• Over time, this role has the potential to evolve into a Center of Excellence (COE) model—becoming the single point of data leadership in India across multiple product pillars (e.g., Payments, Growth, Marketing), not just Risk.

Responsibilities

• Build, manage, and develop a high-performing, geographically distributed data team.
• Define and drive the data roadmap in close partnership with product, engineering, and business stakeholders—ensuring analytical work is tightly coupled to business outcomes.
• Establish and raise the bar on analytical rigor, experimentation frameworks, and data science best practices across the team.
• Recruit and retain skilled data talent, crafting a compelling hiring narrative anchored in local leadership and craft excellence.
• Champion a culture of technical excellence, intellectual curiosity, and operational discipline.
• Collaborate with cross-functional partners and other data leaders globally to align priorities, share learnings, and maintain org-wide consistency.
• Communicate insights, recommendations, and team progress clearly to senior leadership.

Minimum requirements

• 10+ years of experience in data science, analytics, or a related quantitative field, with 3+ years in a people management role leading data scientists or analysts
• Strong technical foundation in SQL, Python or R, statistical modeling, and experimentation design
• Demonstrated ability to translate ambiguous business problems into structured analytical frameworks and actionable insights
• Experience managing and developing individual contributor talent across multiple levels, including coaching, career pathing, and performance management
• Excellent communication and stakeholder management skills—able to influence without authority across functions and time zones along with proven ability to drive alignment and execution across distributed, cross-functional teams

Preferred qualifications

• Advanced degree (M.S. or Ph.D.) in a quantitative discipline such as Statistics, Economics, Computer Science, Mathematics, or a related field
• Experience working in the payments, fintech, or financial services industry
• Prior experience building and scaling data teams in a high-growth environment—particularly standing up 0 → 1 functions or teams
• Track record of being a builder who has personally architected the rituals, standards, hiring bar, and craft culture for a data team from the ground up
• Familiarity with risk, verifications, or compliance-related data domains
• Experience operating across Asia-Pacific markets and navigating the nuances of multi-region team management
• Passion for developing others and creating environments where individual contributors do the best work of their careers