AVP, Data Science (India)

• AVP, Data Science (India)
• Company: Synchrony
• Job Location: India
• Employment Type: Full-time
• :
• Role Title: AVP, Data Science & AI (L11)
• Company Overview:

Synchrony (NYSE: SYF) is a leading consumer financing company that has been at the heart of American commerce and opportunity for nearly a century. Synchrony delivers credit and banking products that empower tens of millions of consumers to improve their financial lives and access what matters most. Leveraging innovative solutions that are shaping the future of retail commerce, Synchrony supports the growth and success of some of the nations most respected brands, alongside hundreds of thousands of small and midsize businesses, including health and wellness providers. Committed to excellence in service and culture, Synchrony is proud to be named as #3 as a Great Place to Work in India and is honored to be ranked the #1 Best Company to Work For in the U.S. by Fortune magazine and Outstanding Place to Work. For more information, visit www.synchrony.com.

Organizational Overview:

This role is part of enterprise-focused Data Science & AI team responsible for enabling and accelerating strategic AI bets across the organization. These bets focus on improving the efficiency of internal business processes and workflows, while strengthening foundational data and platform capabilities.

Role Summary/Purpose:

The AVP, Data Science & AI is a leadership role with people management responsibilities in the Data Science & AI team, part of Analytics in India , rolling up to Growth organisation. This role is responsible for enabling and evaluating strategic Generative AI and Agentic AI priorities across the organization and plays a critical leadership role in advancing foundational capability readiness.

The AVP will lead a team of data scientists and operate at the intersection of business strategy, AI solutions, data architecture and engineering, enterprise platforms, controls, and agile program execution. Key responsibilities include defining AI use-case requirements, evaluating feasibility and business valu .