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