Senior Director, Data & AI Engineering — Scale Finance

Aumni; Palo Alto (CA); In loco; USD 300.000 - 460.000; Tempo pieno

Descrizione del lavoro

JPMorganChase is seeking a Senior Director of Software Engineering to lead Data and AI platforms within the Commercial & Investment Bank Operations. You will guide multi-department strategies, govern AI-enabled delivery workflows, and drive secure, scalable data architectures across teams.

You will influence senior leaders, manage complex cross-functional projects, and champion responsible AI practices while aligning with enterprise security and resilience standards.

Competenze

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 15+ years of software engineering experience, with 5+ years building and managing large scale distributed data systems.
• Experience leading data and AI technologists and cross-functional teams.

Mansioni

• Sets direction for Data and AI technology platforms.
• Manages multiple areas with strategic focus on data and AI systems.
• Leads multi-department strategy for AI-enabled engineering and SDLC automation; sets governance and release practices.
• Drives cross-domain reuse, measurement, and secure handling of data across teams.
• Enables data applications and models for AI agents consumption.
• Provides leadership across platforms, divisions, and lines of business.
• Interfaces with senior leaders to drive consensus and align objectives.
• Oversees complex projects and large cross-product collaborations.
• Influences peer leaders and senior stakeholders across business and tech.

Conoscenze

Data & AI leadership

Cross-functional leadership

Software architecture

SDLC automation

Stakeholder management

Hiring & talent development

Security & resiliency at scale

Formazione

Bachelor’s or Master’s in CS/Engineering

Descrizione del lavoro

JPMorganChase is seeking a Senior Director of Software Engineering to lead Data and AI platforms within the Commercial & Investment Bank Operations. You will guide multi-department strategies, govern AI-enabled delivery workflows, and drive secure, scalable data architectures across teams.

You will influence senior leaders, manage complex cross-functional projects, and champion responsible AI practices while aligning with enterprise security and resilience standards.