Manage and develop a team of data scientists and analysts across India and Singapore
Own roadmap prioritization and execution for the Verifications and Greater China workstreams
Drive hiring for open and future data roles in India
Set quality standards and community rituals for the Bengaluru data team
Coach and manage performance of individual contributors
Manage a team of Data Scientists and Data Analysts
Own roadmap prioritization, execution quality, and stakeholder alignment for both workstreams.
Drive hiring for open and future roles in India
Set quality standards, establish community rituals (knowledge sharing, peer reviews, office hours)
Foster individual contributor growth through real-time coaching, mentorship, career development, and performance management.
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.Read the full posting
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
Excellent communication and stakeholder management skills
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
Familiarity with risk, verifications, or compliance-related data domains
Experience operating across Asia-Pacific markets and navigating the nuances of multi-region team management
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
Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 184 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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• 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
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
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.
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.
• 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.
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
• 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
• 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
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Bengaluru
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