Data Science Vice President - Co Brand Analytics

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Consumer & Community Banking

Data Science Vice President for Co Brand Analytics at JPMorgan Chase, focusing on strategic analytical insights for cobrand credit card partnerships. Responsibilities include owning analytics strategy, mentoring junior scientists, consulting on experimental design, presenting findings to senior management, driving thought leadership in Gen AI use cases and segmentation, recruiting talent, and maintaining data controls. Requires a Master's in a quantitative field, 5+ years of analytics experience, proficiency in statistical software (Python, R, SAS) and SQL, and familiarity with GenAI and prompt engineering basics.

What you'd actually do

  1. Own analytics strategy for Card portfolio performance
  2. Mentor junior data scientists as a subject matter expert
  3. Consult on experimental design and strategy with partners and internal teams
  4. Present findings and actionable recommendations to senior management
  5. Drive thought leadership in Gen AI use cases and segmentation frameworks

Skills

Required

  • Master’s in quantitative field
  • 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)
  • Proficiency in 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 have

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

What the JD emphasized

  • rigorous controls for data accuracy and compliance