This listing doesn't post a salary. Most similar roles pay
$158,200–$223,750.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
As a Senior Director of Software Engineering - Data and AI within the Commercial and Investment Bank Operations team, you will lead multiple technical areas and manage several departments across data and AI domains. You are responsible for setting the direction for technology platforms, specifically focusing on transactional and analytics systems. Your daily work involves scaling multi-department strategies for agentic AI-enabled engineering, SDLC automation, and automated test modernization to improve speed, scalability, and reliability. You will ensure data models are ready for consumption by AI agents while managing complex cross-product collaborations. The role requires expertise in distributed data management systems, the modern data stack including SQL, Python, Java, or Scala, and cloud services. You will solve critical problems regarding responsible AI risk, security, and operational stability within a global banking environment to deliver complex trading and financial systems.
What does a Software Engineering Director earn?
Median $262275 from 30 postings across 13 companies.
Set the strategic direction for Data and AI technology platforms across multiple departments.
Manage and scale multi-department strategies for agentic AI-enabled engineering and SDLC automation.
Establish guardrails for AI-orchestrated delivery workflows, including security, reliability, and traceability.
Prepare data applications and models to be consumed by AI Agents.
Drive cross-domain reuse of software development toolchains to increase capacity across departments.
Act as the primary interface with senior leaders and stakeholders to drive consensus on competing objectives.
Advise senior leadership on responsible AI risk, controls, and secure adoption strategies.
Oversee large-scale projects involving complex trading or financial systems in a global banking environment.
What we're looking for
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
15+ years of experience in software engineering.
At least 5 years of experience building and managing large scale, critical, and complex distributed data management systems.
Formal training or certification on software engineering concepts and 10+ years of applied experience.
5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within a domain of expertise.
Experience developing or leading large or cross-functional teams of Data and AI technologists.
Proven track record of delivering complex trading or financial systems in a global banking environment.
Strong data engineering foundations including multi-modal search, modern data stack proficiency (SQL, Python/Java/Scala), and distributed systems/cloud literacy (preferred).
Agentic AI
SDLC
TLM Automation
Cloud Native
Resilience Engineering
System Design
Release Governance
Security
Software Development Life Cycle
AI-assisted development
AWS
Java
AI-assisted development
LLMs
Agentic AI
SDLC
Data Ingestion Pipelines
Dependency Graph Modeling
Cloud Native
Software Development Life Cycle
System Design
Testing
Infrastructure
Security
Compliance