Director, Data Science, Visa Consulting & Analytics, India and South Asia

Visa onsite • Mumbaifull_time

Team Summary

Visa Consulting and Analytics (VCA) drives tangible, impactful and financial results for Visa’s network clients, including both financial services and merchants. Drawing on our expertise in strategy consulting, data analytics, brand management, marketing, operational and macroeconomics, Visa Consulting and Analytics solves the most strategic problems for our clients.

The India & South Asia (InSA) Consulting Market team within Visa Consulting & Analytics provides consulting and solution services for Visa’s largest issuers in India, Sri Lanka, Bangladesh, Nepal, Bhutan & Maldives. We apply deep expertise in the payments industry to provide solutions to assist clients with their key business priorities, drive growth and improve profitability. The VCA team provides a comprehensive range of consulting services to deliver solutions that address unique challenges in areas such as improving profitability, strategic growth, customer experience, digital payments and running risk.

The individual will be part of VCA Data Science geographic team cluster of India and South Asia (INSA) markets and will be responsible for sales and delivery of  data science and analytics based solutions to Visa Clients.

What the Director Data Science, Visa Consulting & Analytics does at Visa:

The Director, Data Science at Visa Consulting & Analytics (VCA) blends technical expertise with business acumen to deliver impactful, data-driven solutions to Visa’s clients, shaping the future of payments through analytics and innovation. This role combines hands-on modeling with strategic leadership, leading the adoption of Generative AI tools to drive efficiency in delivery. The director will lead a large team of 8+ Colleagues.

This is onsite role based out of Mumbai.

Key Responsibilities

Execute with Excellence

  • Responsible for all Data Science deliverables for all types of Clients – Issuers, Merchants, Acquirers, etc. leveraging visa net data.
  • Collaborate with cross-functional teams including Consulting, Singapore Hub team, Bangalore Shared Services and Data Engineering to align analytics solutions with business objectives.
  • Drive Efficiency in delivery, ensure team is fully utilized and team adheres to agile board.

Commercial Acumen/Stakeholder Management

  • Collaborate with internal stakeholder and external clients to comprehend their strategic business inquiries, leading project scoping and design to effectively address those questions by leveraging Visa's data.
  • Drive revenue outcomes for VCA, particularly focusing on data science offerings such as ML Model solutions , Clustering, strategic Benchmarking , data insights .

Technical Leadership

  • Design, develop, and implement advanced analytics and machine learning models to solve complex business challenges for Visa’s clients leveraging Visanet data as well as Client Data
  • Ensure the quality, performance, and scalability of data-driven solutions.

Team Leadership & Development

  • Mentor and manage a team of data scientists and analysts, fostering a culture of innovation, collaboration, and continuous learning.
  • Set priorities, provide technical direction, and oversee the end-to-end delivery of analytics projects.

​​​​​​​​​​​​​​Innovation & Best Practices

  • Champion the adoption of new methodologies and tools to enhance Visa’s analytics capabilities and value to clients.

Why this is important to Visa

As payments consulting arm of Visa, VCA is a growing team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa s clients grow their business and solve problems by providing consulting services through the use of data