VP – Analytics; L12

Job Description

Role

Title:

VP – Payment Analytics (L12)

Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

• We offer Flexibility for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

• We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.

Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth

The VP – Payment Analytics (people manager) is a role within the India Analytics Hub (IAH), operating under the Decision Management vertical. The desired employee is expected to work hands-on and lead a high-performing analytics team dedicated to delivering comprehensive, end-to-end payment analytics across all products, channels (both digital and non-digital), and features, across multiple functions.

Focused on understanding the Enterprise payment process across customer payment journeys, assessing existing data availability, and collaborating closely with business stakeholders, technology teams, operations, and data engineers to capture and integrate any missing payment data. The VP will establish robust reporting frameworks on the Wing-to-Wing payment lifecycle, delivering strategic insights and actionable recommendations to optimize the payment experience.

The position is remote, where you have the option to work from home.

• Develop and execute a clear, actionable, and time-bound analytics roadmap, outlining key milestones, resources, and timelines to achieve payment analytics objectives.

• Lead the design and delivery of comprehensive analytics across all payment channels, products, and features, providing end-to-end visibility into the payment lifecycle.

• Identify, assess, and bridge data gaps by collaborating with business, technology, operations, and data engineering teams to ensure complete, accurate, and timely payment data capture.

• Translate complex payment data into actionable insights and strategic recommendations that optimize the payment process, improve customer experience, and drive business growth.

• Partner closely with Tech & Ops Payments, Product Analytics, Payment Train, Customer Experience, and other key stakeholders to embed analytics into decision-making at all levels.

• Build, mentor, and manage a high-performing analytics team, fostering a culture of innovation, accountability, and continuous learning.

• Cultivate and maintain strong relationships across teams to effectively communicate analytics value and drive enterprise-wide adoption.

• Support regulatory review and governance

• Promote advanced analytics practices, including proof-of-concept initiatives, to keep the organization at the forefront of payment analytics capabilities.

• Lead internal initiatives, perform other duties and/or special projects, as assigned

• Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 10+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 12+ years of relevant analytics/data science experience.

• 8+ years of…