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• 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.

Who you are

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.

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