Manager of Software Engineering, Data Analytics

JPMorgan Chase

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Posted: 79 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $211k

$156k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $176,212–$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.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Manager of Software Engineering, Data Analytics

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As the Manager of Software Engineering - Data Analytics, you will join the Corporate - Data and Analytics team to lead multiple technical teams and manage day-to-day implementation activities. You will provide guidance on daily tasks, set expectations for output and collaboration, and manage stakeholder relationships while ensuring work adheres to compliance standards and business requirements. Your role involves scaling operating practices for enterprise-authorized AI-assisted engineering and SDLC automation to improve delivery speed and quality. You will oversee the development of products and applications within the financial services industry. Required skills include proficiency in automation, continuous delivery, agile methodologies like CI/CD, and cloud native experience. Preferred technical expertise includes Java Springboot, Python, PiSpark, Mongodb, Oracle, and Unix. You must also possess experience with generative or agentic AI for design and coding.

What does a Software Engineering Manager earn?

Median $223750 from 106 postings across 38 companies.

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Skills

Java Springboot Python MongoDB Oracle Unix AI SDLC CI/CD Cloud Native Automation Agile Methodologies Application Resiliency Security

What you'll do

Lead and manage multiple technical teams to deliver financial technology products.
Provide daily guidance and set performance expectations for a team of software engineers.
Manage stakeholder relationships while ensuring work meets compliance standards and service level agreements.
Identify and escalate project issues to ensure alignment with business requirements.
Scale operating practices for AI-assisted engineering and SDLC automation across multiple teams.
Drive delivery efficiency by utilizing tools within the Software Development Life Cycle toolchain.
Establish measurable metrics for throughput, defect reduction, and reliability across team outputs.
Oversee the secure implementation of generative AI and automated coding tools in development workflows.

What we're looking for

Formal training or certification in software engineering concepts.
5+ years of applied experience in software engineering.
Demonstrated experience coaching and mentoring team members.
Experience leading technology projects and managing technologists.
Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies including CI/CD, application resiliency, and security.
In-depth knowledge of financial services industry IT systems and practical cloud native experience.
Experience leading multi-team adoption of AI-assisted development tools with a focus on responsible AI use.

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