Co Brand Analytics Vice President - Card Data & Analytics

JPMorgan Chase & Co.•Wilmington, DE

About The Position

As a Vice President Co Brand analytics Vice President within Card Data & Analytics, you will deliver strategic analytical insights for cobrand credit card partnerships, shaping strategies for acquisition, engagement, spend activation, retention, and attrition. Your work influences partnership strategies, cardholder value, rewards optimization, and customer experience, with high visibility to senior stakeholders. Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Requirements

Master’s in quantitative field and 5+ years analytics experience
Exceptional analytical, quantitative, problem-solving, and communication skills
Intellectual curiosity for business problem-solving
Leadership and collaboration abilities
Proficiency in statistical software (Python, R, SAS) and data querying languages (SQL)
Familiarity with GenAI and prompt engineering basics
Experience with modern analytics tools (SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)
Ability to convey complex information to technical and non-technical audiences

Nice To Haves

Credit card, payments, or cobrand partnership analytics experience
Experience with loyalty/rewards program analytics
Proficiency in Tableau or similar BI/visualization tools

Responsibilities

Own analytics strategy for Card portfolio performance
Mentor junior data scientists as a subject matter expert
Consult on experimental design and strategy with partners and internal teams
Present findings and actionable recommendations to senior management
Drive thought leadership in Gen AI use cases and segmentation frameworks
Recruit and develop diverse data science talent
Foster an inclusive team environment
Maintain rigorous controls for data accuracy and compliance
Develop new strategies with cobrand partners, marketing, product, and Data & Analytics teams
Enhance cross-partner initiatives
Prepare partner reporting and performance insights