Manager of Software Engineering, Data Analytics

JPMorgan Chase

Quick summary

Work type
On-site
Location
Jersey City, NJ
Salary
$152,000–$215,000 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $184k
$142k most similar roles pay here $247k

This role pays less than 68% of similar roles. Most pay $170,000–$227,337 — the shaded band above. At the midpoint, this role pays about $184k versus about $199k for comparable roles.

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.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Manager of Software Engineering, Data Analytics

Role Posting Log in to save

As the Manager of Software Engineering at JPMorgan Chase within the Corporate Data and Analytics team, you will lead multiple technical teams, guiding daily tasks and setting expectations to ensure compliance and business requirements are met. You’ll manage stakeholder relationships, foster a culture of inclusion, and scale operating practices for AI-assisted engineering and SDLC automation across teams. Key responsibilities include driving efficiency with tools like Java Springboot, Python, PySpark, MongoDB, Oracle, and Unix, while ensuring secure handling of sensitive data and promoting responsible AI use. This role requires experience in leading technology projects, managing technologists, and implementing continuous delivery methods to enhance team performance and deliver high-quality solutions at scale.

Skills

Python Java Springboot Spark Mongodb Oracle Unix AI CI/CD SDLC TLM Kubernetes Docker Prometheus Grafana Git Jenkins

What you'll do

  • Leads and manages multiple technical teams in software engineering.
  • Sets guidance and expectations for team output and practices.
  • Manages stakeholder relationships to ensure compliance and business requirements are met.
  • Establishes measurable expectations for AI-assisted engineering and automation.
  • Ensures secure handling of sensitive inputs/outputs in AI tools usage.

What we're looking for

  • - Leads and manages multiple technical teams in software engineering projects.
  • - Ensures team adherence to compliance standards, business requirements, and tactical best practices.
  • - Implements AI-assisted development and automation tools across teams.
  • - Coaches and mentors technologists on responsible AI use and secure handling of sensitive data.
  • - Proficient in Java Springboot, Python, PySpark, MongoDB, Oracle, Unix.

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