Technical Project Manager - Sr. Lead Software Engineer

JPMorgan Chase; Jersey City (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorganChase in Jersey City, NJ seeks a Senior Manager of Software Engineering within the Commercial & Investment Bank FX/Cash Custody to provide technical coaching and advisory across multiple teams. You influence budgets and technology choices to advance efficiency and capabilities.

You will guide enterprise AI-assisted development, ensure secure patterns, and drive delivery improvements through a structured governance model across teams.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
• Experience leading projects
• Strong technical background with prior hands-on software engineering experience (coding/designing/building)
• Technical Program and Project management with software development experience managing timelines, backlogs, and dependencies across stakeholders' groups.
• Technical and Functional analysis and design - refining requirements and designs to comply with patterns established in cash architecture.
• AI first mindset - using AI to codify thinking tasks and streamline program delivery. 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.
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives.
• 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.

Responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures
• 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 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.
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team

Skills

Technical leadership

Team coaching

AI-first mindset

Cloud native

Software engineering

Budget awareness

SDLC automation

Cross-team collaboration

Security awareness

Education

Software engineering certification/training

Tools

AI-assisted development tools

Job description

When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact. You were made for this.

As a Senior Manager of Software Engineering at JPMorganChase within the Commercial & Investment Bank FX/Cash Custody, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Job responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures
• 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.
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Experience leading projects
• Strong technical background with prior hands-on software engineering experience (coding/designing/building)
• Technical Program and Project management with software development experience managing timelines, backlogs, and dependencies across stakeholders' groups.
• Technical and Functional analysis and design - refining requirements and designs to comply with patterns established in cash architecture
• AI first mindset - using AI to codify thinking tasks and streamline program delivery. 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.
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• 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.
• In-depth knowledge of the services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Experience working at code level