VP – Payment Analytics (L12)
Actively Reviewing the ApplicationsSynchrony
India, Tamil Nadu
Full-Time
On-site
Posted 4 hours ago
•
Apply by June 3, 2026
Job Description
JOB_POSTING-3-79756-4
Job Description
Role Title: VP – Payment Analytics (L12)
Company Overview
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.
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
Role Summary/Purpose
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.
Essential Responsibilities
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.
Work Timings: 2PM - 11PM IST
This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs)
We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.
As directed by the management, you will be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in-person engagement activities such as business/ team meetings, trainings, and events
For Internal Applicants
Job Family Group
Data Analytics
Job Description
Role Title: VP – Payment Analytics (L12)
Company Overview
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 AmbitionBox 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
Role Summary/Purpose
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.
Essential Responsibilities
- 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 hands-on Experience in SQL /SAS with proven ability to leverage advanced algorithms and be efficient in handling complex/large data;
- 3+ years of experience in BI tools, e.g. Tableau etc.
- 5+ years of experience in managing teams with ability to motivate team, drive change, create a culture of learning, innovation and recognition
- Ability to solve complex technical and people-oriented problems with minimal supervision
- Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills
- Strong written/oral communication & stakeholder management skills
- Hands-on experience with web analytics platforms such as Adobe Analytics, Google Analytics, or similar tools to analyze digital payment behaviors and customer journeys.
- Superior thought leadership and framework based solutioning abilities
- Experience in storytelling, presenting to senior leaders with strong communication skills
- Innovative mindset that looks to improve current capabilities and discover new ones
- Passion for exploring and applying new analytics tools, technologies, and methodologies to enhance analytics capabilities and business impact.
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.
Work Timings: 2PM - 11PM IST
This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs)
We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.
As directed by the management, you will be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in-person engagement activities such as business/ team meetings, trainings, and events
For Internal Applicants
- Understand the criteria or mandatory skills required for the role, before applying
- Inform your manager and HRM before applying for any role on Workday
- Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)
- Must not be any corrective action plan (First Formal/Final Formal, LPP)
- L10+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.
- L10+ Employees can apply
Job Family Group
Data Analytics
Required Skills
Communication
Engineering
Reporting
Leadership
SQL
Cutting
Stakeholder Management
Tableau
SAS
Storytelling
Word
Excel
PowerPoint
Data Analytics
Google Analytics
Data Engineering
Data Science
Continuous Learning
Statistics
Analytics
Economics
Data Management
Adobe
Mathematics
Customer experience
Governance
Financial Services
Algorithms
Auto
Adobe Analytics
Product analytics
Analyses
Vertical
PET
Data analyses
Availability
Product suites
Advanced Analytics
Analysts
Employee benefits
Recognition
Format
NCR
Window
Analytics tools
Data availability
Framework
Business growth
Corrective
HRM
Business Impact
Strategic Insights
Corrective Action
Consumer
Telecommunications
BI Tools
Supervision
Data Gaps
BFSI
Workday
Analytics Platforms
Streams
Exploring
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