About the role
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Benefits University See open roles Close mobile navigation Roles at Stripe Role details Data Science Manager, Risk
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About
the team The Data Science & 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 (GCN) 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 ICs distributed across Singapore and India, supporting two high-impact pillars. We are 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 ICs across India and Singapore) spanning the Verifications and GCN 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 IC 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, establishing community rituals (knowledge sharing, peer reviews, office hours), and cultivating 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.
