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Location
In office (Wilmington)
Seniority
Staff · 5+ years exp
Visa
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Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 3, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

Leverage your deep technical expertise and leadership to guide cutting-edge projects, fostering growth and innovation in a dynamic environment.

As a Lead Technical Program Manager in Consumer & Community Banking’s Auto Originations Technology team, you will drive the successful delivery of complex technology projects and programs that will help reaching business goals across the firm. Leveraging your deep knowledge of technical principles, practices, and theories is essential for developing innovative solutions, while simultaneously effectively managing resources, budgets, and high-performing teams. Your strong analytical reasoning and adaptability skills will enable you to navigate through ambiguity and change, ensuring that technology initiatives align with business goals. With advanced communication and stakeholder management abilities, you will foster productive working relationships and influence decision-making to achieve mutually beneficial outcomes. As a subject matter expert, you will contribute to the development of operational plans and risk management strategies, ensuring the highest quality and professionalism in service delivery.

Job responsibilities

  • Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure on-time delivery of technology solutions
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs and handling data according to sensitivity requirements.
  • Identify and mitigate risks, proactively addressing potential roadblocks and implementing contingency plans to maintain project and program momentum
  • Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to define program scope, objectives, and deliverables, ensuring alignment with overall business goals
  • Utilize advanced analytical reasoning to assess program performance, identify areas for improvement, and implement data-driven optimizations to enhance efficiency and effectiveness
  • Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.
  • Drive vulnerability remediation programs by coordinating with engineering, security, and infrastructure teams to prioritize, track, and close out identified vulnerabilities within required SLAs.

  • Collaborate with engineering teams to embed lifecycle and vulnerability management practices into regular SDLC and release planning processes.
  • Partner with engineering, QA, DevOps, and architecture teams to drive adoption of standardized SDLC processes, tooling, and best practices.

  • Identify, track, and mitigate program risks, dependencies, and roadblocks that could impact delivery timelines or code quality.

  • Lead end-to-end planning, execution, and delivery of SDLC-related programs across multiple development teams, ensuring alignment with engineering standards and release schedules.

Required qualifications, capabilities, and skills

  • 5+ years of experience or equivalent expertise in technical program management, leading complex technology projects, and programs in a large organization
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations.
  • Advanced expertise in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients
  • Demonstrated proficiency in applying analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities
  • Several years of experience as a Technical Program Manager, Project Manager, or similar role within a software development organization.
  • Strong working knowledge of the Software Development Life Cycle (SDLC), Agile/Scrum, and DevOps practices.
  • Demonstrated experience managing multiple concurrent technical programs/projects with competing priorities and tight deadlines.
  • Excellent communication and stakeholder management skills, with ability to translate technical concepts for both technical and non-technical audiences.
  • Strong understanding of vulnerability management concepts (CVSS scoring, patch management, remediation SLAs)
  • Familiarity with software/hardware lifecycle management practices, including EOL/EOS tracking and upgrade planning.

Preferred qualifications, capabilities, and skills

  • Experience in auto lending, consumer lending, or financial services technology.
  • Experience delivering platform modernization, cloud migration, API integration, or workflow automation programs in a regulated environment.
  • Experience establishing reusable program governance, centralized roadmap visibility, and metrics-driven dashboards using enterprise delivery and collaboration tools.
  • Experience coordinating geographically distributed teams and third-party technology partners across complex integration landscapes.
  • Experience implementing AI-assisted automation or contributing to generative AI solutions, with attention to human validation, data protection, and measurable workflow improvements.
  • Relevant program management, agile, cloud, or technology certifications
  • Experience working with risk and compliance frameworks, audit processes, and regulatory requirements related to technology risk.
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