AVP, Strategy Sciences

Synchrony

AVP role in Strategy Sciences at Synchrony, utilizing advanced analytics to drive sustainable customer growth and optimize portfolio performance. Leading strategic initiatives and collaborating with senior leaders across functions.

Posted 6/16/2026full-timeRemote • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Responsible for shaping data-driven strategies that enable sustainable customer growth, optimize portfolio performance, and drive enterprise business outcomes.
Combines advanced analytics, strategic thinking, and business leadership to identify emerging opportunities, influence decision-making, and deliver measurable impact across Acquisition and Account Management functions.
Leads high-impact strategy science initiatives by leveraging advanced analytics, experimentation, machine learning, and deep business insights to solve complex business problems.
Partners closely with senior business leaders, model development teams, technology organizations, and cross-functional stakeholders to define strategic priorities and translate insights into scalable solutions.

Requirements

What you’ll need

Bachelor’s degree and 5+ years of experience in data analytics/strategy within Credit, Marketing, Risk or Collections in Financial services, or in lieu of a Bachelor's degree, 7+ years of data analytics/data sciences in Marketing, Risk or Collections in Financial services.
5+ years of experience using statistical/analytics tools such as SAS, SQL, Python and/or visualization tools (e.g., Tableau).
Expert-level proficiency with Presentation and Excel.
3+ years of experience supporting retail lending products (e.g., credit cards, installment loans, unsecured lending).
Strong understanding of the consumer lending lifecycle, credit card portfolios, customer acquisition, portfolio management, and decisioning strategies, with the ability to translate business objectives into data-driven solutions.
Demonstrated experience leading high-impact analytics, strategy science, or data science initiatives that drive measurable business outcomes within a strategy, risk, fraud, or decisioning environment.
Advanced analytical toolkit with expert proficiency in SQL and SAS, and strong working knowledge of Python (or equivalent programming languages) for advanced analytics, machine learning, automation, and scalable solution development.
Proven experience in customer segmentation, predictive modeling, experimentation, optimization techniques, performance measurement, and strategy development.
Excellent stakeholder management and executive communication skills with a proven ability to influence senior leaders and drive alignment across cross-functional teams without direct authority.
Experience partnering with Business Strategy, Product, Technology, Model Development, Data Engineering, and Operations teams to deliver scalable analytical solutions and enterprise capabilities.

Benefits

Comp & perks

best-in-class employee benefits and programs that cater to work-life integration and overall well-being
career advancement and upskilling opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsadvanced analyticsmachine learningstatistical toolspredictive modelingoptimization techniquesperformance measurementdata-driven solutionsexperimentationportfolio management

Soft Skills

strategic thinkingbusiness leadershipstakeholder managementexecutive communicationinfluencecross-functional collaborationproblem-solvingalignmentcustomer growthdecision-making