Manager of Software Engineering - Data Analytics

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 170,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City, NJ, seeks a Manager of Software Engineering to lead multiple technical teams and drive end-to-end delivery of financial technology solutions. You will manage day-to-day implementation activities, escalate issues, and ensure adherence to compliance standards and business requirements.

A focus on AI-assisted development and scalable SDLC practices is expected. The role emphasizes coaching, enterprise collaboration, and responsible AI practices while advancing

Qualifications

• Formal training or certification in software engineering concepts
• 5+ years of applied experience in software engineering
• Coaching and mentoring experience
• Experience leading technology projects
• Experience managing technologists
• Proficient in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle (SDLC)
• Advanced understanding of agile methodologies including CI/CD, Application Resiliency, and Security
• Practical cloud native experience
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools
• Strong understanding of responsible AI use in engineering workflows

Responsibilities

• Provides guidance to the immediate team of software engineers on daily tasks and activities
• Sets the overall guidance and expectations for team output, practices, and collaboration
• Anticipates dependencies with other teams to deliver products and applications per business requirements
• Manages stakeholder relationships and the team’s work in line with compliance standards and SLAs
• Creates a culture of opportunity, inclusion, and respect for team members
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams
• Establishes measurable expectations (throughput, defect reduction, reliability) and ensures secure handling of inputs/outputs
• Applies SDLC toolchain and AI-assisted development capabilities to drive efficiency and capacity unlock initiatives
• Prioritizes reuse of firm technology assets and governance mechanisms for safe scaling

Skills

Coaching & mentoring

Leadership

CI/CD

Agile methodologies

Cloud native experience

AI-assisted development

Security

Resiliency

SDLC

Technology project leadership

Experience managing technologists

Education

Formal software engineering certification

Tools

Java Springboot

Python

PySpark

MongoDB

Oracle

Unix

Job description

This role is a challenge with big impact, but you were made for this.Bring your Engineering skills and lead and manage multiple technical teams and move financial technologies forward.

As a Manager of Software Engineering at JPMorgan Chase within the Corporate - Data and Analytics team, where you will lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.

Job responsibilities

• Provides guidance to immediate team of software engineers on daily tasks and activities
• Sets the overall guidance and expectations for team output, practices, and collaboration
• Anticipates dependencies with other teams to deliver products and applications in line with business requirements
• Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
• Creates a culture of opportunity, inclusion, and respect for team members and prioritizes diverse representation
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.

Required qualifications, capabilities, and skills

• Formal training or certification onsoftware engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience
• Experience leading technology projects
• Experience managing technologists
• Proficient in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Experience working at code level
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.

Preferred qualifications, capabilities, and skills

• Experience working with Java Springboot, Python, PiSpark, Mongodb, Oracle, Unix
• Experience working with AI – generative or agentic and using them in design and coding.