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This listing doesn't post a salary. Most similar roles pay
$185,375–$244,000.
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
1226 open roles
on FindRole.
Listed pay typically runs
$156,750–$215,000
across 5 roles with salary data.
The Sr Director of Software Engineering leads multiple technical areas and departments within the Corporate Sector. This leadership role involves managing cross-functional teams to drive the adoption of technical methods and achieve firmwide technology objectives. Key responsibilities include setting and scaling multi-department strategies for agentic AI-enabled engineering and SDLC/TLM automation. The role focuses on improving speed, scalability, reliability, and cost-to-serve through AI-orchestrated delivery workflows, release governance, automated test modernization, and resilience engineering. Candidates must possess extensive practical cloud native experience and expertise in Computer Science, Computer Engineering, or Mathematics. The position requires leading multi-organization adoption of agentic AI operating models, defining governance for human-in-the-loop decisioning, and managing responsible AI risk, controls, and security expectations. The work involves driving cross-domain reuse and measurable capacity unlock outcomes.
Lead multiple technology and process implementations across departments to achieve firmwide objectives.
Set and scale multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation.
Establish portfolio-level standards for AI-orchestrated delivery workflows, release governance, and automated test modernization.
Act as the primary interface with senior leaders and stakeholders to drive consensus across competing objectives.
Manage multiple stakeholders and large cross-product collaborations across various platforms and lines of business.
Apply knowledge of SDLC toolchains and AI-assisted development to drive cross-domain reuse and capacity outcomes.
Define governance, measurement frameworks, and secure handling for agentic AI-enabled engineering operating models.
Advise senior leaders on responsible AI risk, controls, and security expectations at scale.
What we're looking for
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.
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Experience developing or leading large or cross-functional teams of technologists.
Experience leading multi-organization adoption of agentic AI-enabled engineering operating models and defining governance, measurement frameworks, and secure handling of inputs.
Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale with the ability to advise senior leaders.