Senior Director of Software Engineering, Lending Technology

JPMorgan Chase

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Work type
On-site
Location
New York, NY
Posted
3 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $215k
$152k most similar roles pay here $288k

This listing doesn't post a salary. Most similar roles pay $184,359–$246,150.

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.

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At a glance

TL;DR · Senior Director of Software Engineering, Lending Technology

As a SR Director of Software Engineering – Lending Technology within the Commercial and Investment Bank Lending Technology team, you will lead senior engineers and managers to modernize commercial lending workflows and platforms. You will partner with bankers, product teams, and operations to translate business needs into technical roadmaps while ensuring reliability, security, and operational excellence through automation and observability. Your role involves making critical build, buy, and reuse decisions, managing budgets, and overseeing vendor strategies. You will specifically lead the adoption of agentic AI-enabled engineering operating models and SDLC automation using enterprise-authorized tools. The role requires expertise in distributed systems, resilience engineering, and secure development to solve complex problems in lending, credit, underwriting, and loan origination. You must possess a quantitative foundation in calculus or statistics to manage data-intensive platforms and financial math for lending workflows.

What does a Software Engineering Director earn?

Median $260125 from 30 postings across 15 companies.

See salary data

What you'll do

  • Lead the modernization of commercial lending workflows and underlying technology platforms.
  • Translate business needs from bankers and product partners into actionable roadmaps and measurable outcomes.
  • Establish engineering standards for architecture, reliability, security, and delivery speed.
  • Drive operational excellence through automation, observability, and disciplined incident management.
  • Scale multi-department strategies for agentic AI-enabled engineering and SDLC automation.
  • Make disciplined build, buy, and reuse decisions based on risk and total cost of ownership.
  • Manage budget planning, forecasting, and vendor strategy to ensure cost discipline.
  • Build and retain high-performing teams through structured hiring and career development.

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.
  • Demonstrated experience leading leaders (managers of managers) and senior technical staff in complex engineering organizations.
  • Proven ability to modernize workflow-heavy enterprise systems, including process redesign and platform modernization.
  • Strong engineering fundamentals across system design, distributed systems, reliability engineering, secure development, and software delivery practices.
  • Experience leading multi-organization adoption of agentic AI-enabled engineering operating models and understanding of responsible AI risk and controls.
  • Budget ownership experience, including planning, forecasting, and proactive expense management for headcount, vendors, and platforms.
  • Quantitative foundation to apply financial math to lending workflows, such as a degree or coursework in calculus or statistics.
  • Experience in lending, credit, underwriting, loan origination/servicing, or adjacent financial services (preferred).
  • Experience building data-intensive platforms and using metrics to manage reliability, delivery, and product outcomes (preferred).
  • Experience with cloud platforms, platform engineering, and automation at scale (preferred).
  • Familiarity with risk, controls, auditability, and regulatory expectations in financial services (preferred).

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