JPMorgan Chase
Head of Auto Commercial Analytics-Executive Director
$204K–$285K
New York, NY +1 · Director · Full-time · Posted Oct 26, 2026
- Location
- New York, NY
Jersey City, NJ - Experience
- 12+ years, including significant leadership experience.
- Education
- Bachelor’s degree in a quantitative discipline; preferred: Master’s degree or PhD in a quantitative discipline.
About the job
Leads analytics and AI strategy for Chase Auto Commercial Solutions, building insights and capabilities to grow dealer relationships, improve sales effectiveness, and support commercial business decisions.
What you'll do
- Set analytics and AI strategy and develop scalable analytical solutions for dealer growth, portfolio performance, and sales effectiveness.
- Partner with executives and cross-functional teams to turn analytical insights into business recommendations and strategic priorities.
- Lead, mentor, and develop an analytics organization; establish measurement, experimentation, and governance frameworks.
What they ask for
- Bachelor’s degree in a quantitative discipline.
- 12+ years of experience in analytics, data science, quantitative modeling, strategy, or business intelligence, including significant leadership experience.
- Demonstrated ability to lead and develop large analytics organizations and deliver measurable business outcomes; expertise in machine learning, predictive analytics, and advanced analytical methods.
- Experience with generative AI and automation; proficiency in modern analytics technologies.
Nice to have
- Master’s degree or PhD in a quantitative discipline.
- Experience in automotive finance, dealer services, commercial banking, floorplan lending, or related financial services.
Pay
USD 204,250.00-$285,000.00 base salary (New York, NY); USD 204,250.00-$285,000.00 base salary (Jersey City, NJ)
Tools
Python, SQL, Snowflake, Databricks, Salesforce
AI focus
Defines and executes AI strategy, applying machine learning, generative AI, and automation to improve growth, efficiency, decision-making, and business outcomes; promotes responsible AI practices.
Model-written summary · the original posting is authoritative