Technical Project Manager - Sr. Lead Software Engineer

JPMorgan Chase & Co. • Jersey City, NJ

6d • $175,750 - $260,000

About The Position

As a Senior Manager of Software Engineering at JPMorganChase within the Commercial & Investment Bank FX/Cash Custody, you provide technical coaching and advisory support for multiple technical teams and anticipate needs and dependencies across functions. You apply your expertise to influence budget and technical considerations that advance operational efficiency and functionality. The role leads software engineers working on basic to moderately complex tasks and oversees team resources, budgets, tactical operations, and process execution.

You establish and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams. This includes setting measurable expectations for delivery speed, quality, and operational outcomes; promoting validation, security, resiliency, and reuse of proven patterns; and applying Software Development Life Cycle toolchain capabilities to improve efficiency and unlock capacity. You also coordinate stakeholders, manage and mitigate issues, and advise leadership on budgets, approaches, and technical considerations.

The position calls for a strong software engineering background, project and program leadership, practical cloud-native experience, and the ability to guide responsible adoption of AI-assisted development and delivery tools. JPMorganChase offers a competitive total rewards package, with benefits and programs based on eligibility.

Requirements

• Formal training or certification in software engineering concepts.
• At least 5 years of applied software engineering experience.
• At least 2 years of experience leading technologists to manage and solve complex technical items within the candidate’s domain of expertise.
• Experience leading projects.
• Strong technical background and prior hands-on software engineering experience in coding, designing, and building.
• Technical program and project management experience in software development, including managing timelines, backlogs, and dependencies across stakeholder groups.
• Technical and functional analysis and design experience, including refining requirements and designs to comply with patterns established in cash architecture.
• An AI-first mindset, including using AI to codify thinking tasks and streamline program delivery.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, resiliency and security implications, and control expectations.
• Ability to guide and coach teams on approaches aligned with strategic initiatives.
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance and ways of working such as human-in-the-loop validation and quality gates, measuring outcomes, and securely handling sensitive inputs and outputs.
• In-depth knowledge of the services industry and its IT systems.
• Practical cloud-native experience.

Nice To Haves

• Experience working at code level.

Responsibilities

• Provide overall direction, oversight, and coaching for entry-level to mid-level software engineers working on basic to moderately complex tasks.
• Make decisions influencing team resources, budgets, tactical operations, and the execution and implementation of processes and procedures.
• Set and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams.
• Establish measurable expectations for throughput, defect reduction, reliability, and other delivery and operational outcomes; ensure consistent validation, security, resiliency, and reuse of proven patterns.
• Apply knowledge of Software Development Life Cycle tools, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity-unlock initiatives, prioritizing reuse of existing firm technology assets.
• Ensure successful collaboration across teams and stakeholders.
• Identify and mitigate issues while executing a book of work, escalating issues as necessary.
• Provide leadership with input on budgets, approaches, and technical considerations to improve operational efficiencies and functionality.
• Lead projects and manage timelines, backlogs, and dependencies across stakeholder groups.
• Refine requirements and designs to comply with patterns established in cash architecture.
• Guide and coach teams on approaches that achieve goals aligned with strategic initiatives.
• Lead multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, defining governance and ways of working, measuring outcomes, and ensuring secure handling of sensitive inputs and outputs.
• Coach managers and leads and influence leaders on safe scaling patterns for responsible AI use in engineering workflows.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed