Drimva

JPMorgan Chase

Customer Insights - Payments Data & Analytics - Senior Product Associate

$100K–$155K

New York, NY · Senior · Full-time · Posted Oct 28, 2026

Experience
3+ years or equivalent expertise in product management or a relevant domain area.
Education
Bachelor’s degree in a quantitative, technical, or business discipline; a Master’s in math, statistics, analytics, or Business is preferred.

About the job

Own day-to-day execution of payments data and analytics products, using customer insights, metrics, and AI capabilities to improve product adoption and outcomes.

What you'll do

  • Build an AI conversational analyst for deployment across digital channels; manage product modules and AI-related workstreams.
  • Use research, journey mapping, market analysis, metrics, KPIs/OKRs, and experiments to inform product decisions and improve engagement.
  • Write product requirements, epics, and user stories; coordinate delivery with cross-functional teams and support commercialization.

What they ask for

  • 3+ years of experience or equivalent expertise in product management or a relevant domain area.
  • Knowledge of the product development life cycle, including discovery and requirements definition.
  • Data analytics expertise, such as SQL or Python, and ability to analyze data for decisions.
  • Familiarity with AI/ML concepts, evaluation frameworks, and monitoring for AI use cases.

Nice to have

  • Experience in a highly matrixed, complex organization; payments, fintech, or technology-enabled industries.
  • Experience creating AI-powered solutions and familiarity with OpenAI, Anthropic, or Google models.

Pay

$99,750.00-$155,000.00 USD base salary

Tools

SQL, Python, OpenAI, Anthropic, Google

AI focus

Build and deploy an AI conversational analyst across digital channels; develop AI-powered product features and controls, with familiarity in AI/ML evaluation and monitoring.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)