Data Science Vice President - Co Brand Analytics

We're driven by curiosity, passion, optimism, and the belief that everybody can grow.

As a Vice President Data Science Co Brand analytics 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.

Job 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

 

Required Qualifications, Capabilities, and Skills:

• 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

   

 

Preferred Qualifications, Capabilities, and Skills:

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