Manager of Software Engineering, Data Analytics
Real job — pulled straight from JPMorgan Chase’s careers page · Verified June 18, 2026 · No reposts.
Job description
JPMorgan Chase is hiring a Manager of Software Engineering, Data Analytics — a full-time, based in Jersey City, NJ role. Apply directly on JPMorgan Chase's careers page below.
Manager of Software Engineering - Data Analytics
Location: Jersey City, NJ, United States
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 on software 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.
About Us
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Organization
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.Serve in a leadership role by providing technical coaching and advisory for multiple technical teamsGet Manager of Software Engineering, Data Analytics jobs like this→
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Frequently asked questions
What skills are required for Manager of Software Engineering, Data Analytics at JPMorgan Chase?
The required skills for Manager of Software Engineering, Data Analytics at JPMorgan Chase include: Agile, CI/CD, AI, Generative AI, Java, Spring Boot, Python, MongoDB, Oracle, Unix.
What is the seniority level for Manager of Software Engineering, Data Analytics at JPMorgan Chase?
Manager of Software Engineering, Data Analytics at JPMorgan Chase is a Manager level position.
How do I apply for Manager of Software Engineering, Data Analytics at JPMorgan Chase?
You can view the full description and apply for Manager of Software Engineering, Data Analytics at JPMorgan Chase on EchoJobs: https://echojobs.io/job/jpmorgan-chase-manager-of-software-engineering-data-analytics-c4j4v.