Job Description:
Role Title: AVP, Evergreen Data Product Owner (L11)
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 and Choice 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.
Organizational Overview:
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 AVP, Evergreen Data Product Owner is a role (Individual Contributor) within the India Analytics Hub (IAH), operating under the Decision Management
will serve as a key leader, responsible for advancing the development and management of curated, model-ready data assets in support of enterprise-wide modeling and machine learning operations. This role will focus on enabling analytic productivity, supporting model governance requirements, and ensuring that data used for model development, validation, monitoring, and governance is accessible, accurate, and aligned with strategic goals. The Data Product Owner will collaborate across model development teams, Model Lifecycle Operations Product Owner, and data engineering partners to translate business objectives into a cohesive model data product roadmap.
The position is remote, where you have the option to work from home.
Key Responsibilities:
Engage regularly with model developers, validators, and risk stakeholders to understand their evolving data needs for model development, monitoring, and governance.
Drive the vision and execution of model operations data products, including curated model datasets, metadata standards, and integration with Model Lifecycle Operations pipelines.
Partner with analytics, risk, fraud, marketing, and operations functions to identify, define, and prioritize use cases requiring model-ready data.
Participate in PI Planning sessions and Agile ceremonies to align model operations data features with enterprise goals and cross-functional dependencies.
Coordinate end-to-end product delivery by working closely with data engineering, information architecture, and cloud platform teams.
Ensure model operations data assets are compliant with internal data governance, metadata, lineage, and regulatory requirements (e.g., SR 11-7).
Liaise with Cloud , Data Lake, Data Warehouse, and model governance engineering teams on delivery execution and backlog prioritization.
Track and report project and program status, deliverables, and value realization across the model operations data portfolio.
Drive continuous improvement in the availability, explainability, and auditability of curated data assets used in model operations.
Anticipate, escalate, and resolve cross-team risks, dependencies, and delivery blockers.
Facilitate alignment with infrastructure, security, and other technical teams when dependencies impact modeling data services.
Write and prioritize features and user stories with a clear understanding of stakeholder perspectives and business value.
Regularly refine backlog items to ensure clarity, alignment, and readiness for development.
Clarify product requirements and ensure delivery meets agreed expectations.
Oversee UAT in partnership with ML Ops Developers, including writing and/or securing test scripts, maintaining/storing documentation, and obtaining stakeholder sign-offs.
Lead post-production validation, including writing and/or securing post-prod validation scripts and obtaining sign-off.
Create and maintain standardized functional documentation for each feature in collaboration with the Data Office.
Perform other duties and/or special projects as assigned.
Required Skills/Knowledge:
Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 7+ years’ experience OR, in lieu of degree, and 9+ years experience with program or product management experience leading complex, cross-functional data or analytics programs.
7+ years of of experience managing programs or products, including: 5+ years of experience defining business needs, prioritizing data and analytics solutions, and coordinating cross-functional technical execution and 3+ years of experience working in data integration, modeling, warehousing, or big data environments—preferably supporting modeling or advanced analytics.
Demonstrated experience leading Agile or Scaled Agile programs (SAFe) across cross-functional teams.
Proven track record of enabling model or analytics platforms, data-as-a-product delivery, or Model Lifecycle Operations/Data Operations functions.
Agile or Product Owner certification (e.g., CSPO, SAFe PO/PM).
Broad understanding of credit risk, fraud, marketing analytics, regulatory modeling (e.g., CECL, Basel), or consumer lending data environments.
Experience working with large-scale data ecosystems, including cloud (AWS, Azure), data lakes, and metadata management tools.
Desired Skills & Knowledge
Exceptional verbal and written communication skills demonstrated through executive and cross-functional stakeholder engagement, detailed-oriented documentation, and visual storytelling.
Advanced critical thinking skills in analytical problem-solving and the ability to use data to break down complex models.
Strong project management and leadership skills to achieve specific goals within a defined timeline and budget.
Ability to effectively share knowledge by translating complex, technical subject matter and providing actionable coaching and feedback across all levels.
Strong business acumen and familiarity with model governance frameworks, regulatory expectations, and internal audit processes (e.g., SR 11-7 compliance, MRM policies).
Technical experience with exploratory data analysis, statistical modeling, machine learning, and generative AI.
Hands-on experience applying GenAI in combination with traditional machine learning, statistical modeling, and exploratory data analysis to drive innovation in credit and risk modeling.
Eligibility Criteria:
Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 7+ years’ experience OR, in lieu of degree, and 9+ years experience with program or product management experience leading complex, cross-functional data or analytics programs.
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.
Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture 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 (Formal/Final Formal)
L9+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible.
Employees at L9+ can only apply for this opportunity.
Grade/Level : 11
Job Family Group:
Data Analytics