Senior Director of Software Engineering

JPMorgan Chase

Quick summary

Work type: On-site
Location: Wilmington, DE
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $184k

$136k most similar roles pay here $225k

This listing doesn't post a salary. Most similar roles pay $152,150–$216,656.

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 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Senior Director of Software Engineering

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As a Senior Director of Software Engineering in JPMorgan Chase’s Consumer and Community Banking Risk AI/ML Model Engineering team, you will lead the integration of various model platforms supporting card, consumer and business banking, auto, mortgage portfolios, and regulatory functions. You will manage multiple departments, set strategic technology objectives, and drive cross-domain reuse through enterprise-authorized tools like Databricks, Snowflake, and Spark. Your responsibilities include providing thought leadership in building cloud-based solutions, ensuring robust governance frameworks for AI-enabled engineering, and advising senior leaders on responsible AI practices. With a focus on consumer financial products and data systems, you will oversee complex projects, deliver scalable solutions, and collaborate with stakeholders across the organization to maintain operational stability and security.

Skills

Databricks Snowflake Spark AWS Kubernetes CI/CD Python Machine_Learning Responsible_AI Cloud_Native Terraform DevOps Grafana Prometheus PostgreSQL Redis Git Jenkins

What you'll do

Leads the integration of various model platforms supporting Chase’s financial products.
Sets and scales multi-department strategy for AI-enabled engineering automation.
Provides hands-on thought leadership in building cloud-based model integration architectures.
Manages multiple stakeholders, complex projects, and large cross-product collaborations.
Directs teams to manage, anticipate, and solve complex technical issues across domains.

What we're looking for

Over 5 years leading technologists in managing complex technical issues across the organization.
Proven experience developing or leading large cross-functional technology teams.
Demonstrated ability to influence and deliver value in matrixed, complex organizations.
Experience in system design, testing, and ensuring operational stability for complex projects.
Background in machine learning frameworks and big data technologies like Databricks, Snowflake, Spark.
Expertise in cloud-native development and leading AI-enabled engineering adoption across multiple organizations.

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