Data Sutram  (http://www.datasutram.com/) is a leading RegTech-focused fintech infrastructure company committed to empowering enterprises by unlocking secure growth. We are at the forefront of fraud prevention, risk management, and compliance intelligence, helping financial institutions operate safely in an increasingly digital world.

Leveraging an AI-powered platform, Data Sutram is building a trust ecosystem that supports 60 million MSMEs and 1 billion individuals, ensuring risk-free transactions and robust compliance in the digital economy.

We are already working with some of India’s largest banks (HDFC, Axis, IndusInd) and NBFCs (Tata Capital, IIFL, DMI Finance) to create next-generation fraud prevention and risk intelligence solutions. Data Sutram was founded by Rajit, Aisik, and Ankit, three entrepreneurs who were recognized in Forbes’ Top 30 Under 30 in Enterprise Technology for their achievements in deep-tech and AI-driven financial intelligence.

Since its inception, DS has grown into a team of over 60+ professionals from diverse backgrounds, united by a passion for solving complex challenges in financial infrastructure.

Backed by leading global venture investors, Data Sutram is scaling rapidly to become the infrastructure layer for secure financial transactions in the digital economy

 

Job Title: Vice President - Data Science

Department: Technology

Location: Mumbai

 

Role Overview

We are seeking a visionary VP of Data Science to lead our growing data science function. You will be responsible for setting the strategic direction of data science across the company, overseeing the development and deployment of advanced analytics and machine learning models, and driving the overall data-driven culture. You will lead a talented team of data scientists and analysts, collaborate with cross-functional teams, and work closely with senior leadership to deliver insights that empower decision-making, optimize products, and ensure the scalability of our fintech infrastructure.

Responsibilities:

• Strategic Leadership: Develop and implement the company’s data science strategy, aligning it with business goals, product development, and customer needs.
• Team Management & Development: Build, mentor, and grow a high-performing data science team. Foster a collaborative and results-oriented culture.
• Stakeholder Collaboration: Partner with senior leadership, including product, engineering, operations, and finance, to identify key business opportunities and challenges.
• AI & Machine Learning Excellence: Oversee the design, development, and implementation of machine learning models and AI solutions. Ensure that algorithms and predictive models improve decision-making, product features.
• Data Infrastructure & Strategy: Collaborate with the engineering team to develop robust data infrastructures, ensuring scalability, quality, and security of data pipelines.
• Business Impact & Insights: Identify key business problems and deliver data-driven insights that inform strategic and operational decisions. Create predictive models and advanced analytics solutions to optimize product features, pricing strategies, customer behavior, and fraud detection.
• Data Governance & Compliance: Ensure that practices are aligned with legal, regulatory, and ethical standards.