JPMorgan Chase
Director of Architecture - Data and AI
$204K–$285K
Palo Alto, CA · Director · Full-time · Posted Sep 5, 2026
- Experience
- 15+ years in software architecture, including at least 5 years architecting large-scale complex data analytics platforms; 10+ years applied architecture experience.
- Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
About the job
Leads Data and AI architecture for Commercial and Investment Bank Operations, setting technical direction, governance, and delivery standards across teams and projects.
What you'll do
- Set Data architecture direction for transactional and analytics applications and guide AI enablement at the data layer.
- Lead architecture implementations and governance, including coding decisions, controls, cost, maintainability, and AI-assisted workflows.
- Make decisions on team resources and budgets, and lead cross-functional architect teams and talent development.
What they ask for
- 15+ years in software architecture, including at least 5 years architecting large-scale complex data analytics platforms.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; formal architecture training or certification and 10+ years of applied experience.
- Experience leading cross-functional architecture teams, using enterprise-authorized AI safely, and evaluating AI-assisted recommendations against resiliency, security, and auditability expectations.
- Product Owner or Product Manager experience and practical cloud native experience.
Nice to have
- Experience with Semantic Search in structured and semi-structured data, distributed systems, cloud services, and AI in large data platforms.
- Experience delivering complex trading or financial systems in a global banking environment.
Pay
USD 204,250.00-$285,000.00 base salary
Tools
Search, Vector, Graph data stores
AI focus
Leads AI enablement at the data layer and adoption and governance of enterprise-authorized AI in architecture and engineering workflows, including human-in-the-loop validation, sensitive-data handling, and auditability.
Model-written summary · the original posting is authoritative