Director of Software Engineering and AI, Operations

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Plano, TX
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $237k
$162k most similar roles pay here $312k

This listing doesn't post a salary. Most similar roles pay $194,825–$278,212.

Based on 240 similar postings.

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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 1122 open roles on FindRole.

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At a glance

TL;DR · Director of Software Engineering and AI, Operations

As the Director of Software Engineering and AI - Operations within the Operations Collections team, you will lead a technical area by driving innovation across teams, technologies, and projects. You are responsible for managing resources, budgets, and tactical operations while overseeing technology and process implementations to achieve functional objectives. Your core focus involves setting direction for agentic AI-enabled engineering and SDLC/TLM automation to improve speed, quality, and operational outcomes like release readiness and incident triage. You will manage the software development life cycle toolchain using enterprise-authorized AI-assisted tools while ensuring security, traceability, and maintainability. The role requires expertise in computer science or a related field, practical cloud native experience, and proficiency in managing cross-functional teams. You will solve complex technical problems by implementing scalable solutions across multiple business domains while navigating responsible AI governance and data sensitivity requirements.

What you'll do

  • Lead technology and process implementations to achieve functional objectives across the department.
  • Make key decisions regarding team resources, budget allocation, and tactical operations.
  • Set direction and governance for agentic AI-enabled engineering and SDLC automation.
  • Implement automated test modernization and incident triage acceleration to improve operational outcomes.
  • Manage coding decisions, control obligations, and metrics like cost of ownership and maintainability.
  • Deliver technical solutions that can be scaled across multiple business units and domains.
  • Drive the adoption of enterprise-authorized AI tools while ensuring security and quality guardrails.

What we're looking for

  • Formal training or certification in software engineering concepts.
  • 10+ years of applied experience in software engineering.
  • 5+ years of experience leading technologists to manage and solve complex technical items within a domain of expertise.
  • Experience developing or leading cross-functional teams of technologists.
  • Experience with hiring, developing, and recognizing talent.
  • Experience leading adoption of agentic AI-enabled engineering practices using enterprise-authorized tools.
  • Strong understanding of responsible AI use, control expectations, and governance in engineering workflows.
  • Practical cloud native experience.

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