Drimva

JPMorgan Chase

Data Analytics and AI VP

$147K–$200K

Jersey City, NJ · Director · Full-time · Posted Oct 8, 2026

Experience
8+ years; analytical solution development and/or management consulting with a heavy emphasis on quantitative analysis.
Education
Bachelor’s Degree (or higher) in a quantitative discipline (e.g. Computer Science, Engineering, Applied Statistics, Mathematics or similar).

About the job

Leads the development of data analytics, automation, and AI-enabled decision-support capabilities to improve infrastructure portfolio management, investment governance, and strategic execution.

What you'll do

  • Develop data solutions, analytics, and leadership dashboards for business reviews and decision forums.
  • Design AI-enabled solutions that use machine learning, predictive analytics, and generative AI to support prioritization, governance, and execution.
  • Partner with stakeholders to establish responsible AI controls and reusable analytics, metrics, and reporting standards.

What they ask for

  • 8+ years of hands-on analytical solution development and/or management consulting with a heavy emphasis on quantitative analysis.
  • Strong experience with enterprise data ecosystems, including SQL, APIs, cloud-based data platforms, data modeling, and data integration architectures.
  • Experience with Generative AI, LLM-based solutions, Copilot technologies, RAG, AI-assisted analytics platforms, or similar enterprise AI capabilities.
  • Bachelor’s Degree (or higher) in a quantitative discipline.

Nice to have

  • Financial services experience.
  • Familiarity with infrastructure and cloud technology, such as datacenter compute, storage, database, network, mainframe, or middleware.

Pay

USD 147,250.00-$200,000.00 base salary

Tools

SQL, APIs, cloud-based data platforms, machine learning, predictive analytics, generative AI, LLM-based solutions, RAG

AI focus

Develop and apply AI-enabled decision-support, analytics, automation, and executive reporting using machine learning, predictive analytics, generative AI, LLMs, Copilot technologies, and RAG, with human oversight and appropriate controls.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)