J
Not Specified Permanent

San Jose, California · USA job

Director of Architecture - Data and AI

JP Morgan Chase

San Jose, California

Job description

Overview

As Director of Architecture, you steer Data and AI architecture to enable scalable, secure, and high-impact analytics across Commercial & Investment Bank Operations. You will set architectural direction, drive AI enablement at the data layer, and govern decisions to balance innovation with resiliency and control. You lead cross-functional teams, own key initiatives, and shape the target state architecture to unlock value for the business. This is a high-visibility role at a global financial leader focused on data-driven transformation.

Compensation / Benefits
  • comprehensive health care
  • retirement savings plan
  • tuition reimbursement
  • mental health support
  • on-site health centers
  • discretionary incentive compensation
Responsibilities
  • Set the direction for Data architecture across transactional and analytics apps
  • Drive AI enablement at the data layer with advanced data stores
  • Lead technology and process implementations to meet architecture objectives and governance
  • Promote reuse of enterprise AI capabilities with human-in-the-loop validation
  • Make decisions affecting resources, budgets, and execution of processes
  • Establish governance standards for AI-assisted workflows aligning with resiliency, security, and control
Key requirements
  • 15+ years of software architecture experience
  • 5+ years architecting large-scale data analytics platforms
  • Experience leading cross-functional architect teams and talent development
  • Proven experience deploying enterprise-authorized AI capabilities with data sensitivity awareness
  • Ability to evaluate AI-assisted recommendations and ensure resiliency, security, and auditability
  • Experience as Product Owner or Product Manager
  • Practical cloud-native experience
  • leadership and team-building
  • strong communication with stakeholders
  • decisiveness and accountability
  • Data architecture for transactional and analytics apps
  • AI capabilities in data layer (Search, Vector, Graph)
  • Governance for AI-enabled workflows

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