CES Lead Technical Program Manager

JPMorganChase•Plano, TX

About The Position

As a Lead Technical Program Manager on the Consumer & Community Banking Core Engineering Solutions team, you will guide the delivery of complex technology projects and programs that support business goals across the firm. The role uses deep technical knowledge to develop innovative solutions while managing resources, budgets, and high-performing teams. It calls for analytical reasoning and adaptability to navigate ambiguity and change, and communication and stakeholder-management skills to build productive relationships and influence decisions. As a subject matter expert, you will contribute to operational plans and risk-management strategies and support high-quality, professional service delivery. The position also uses enterprise-authorized AI capabilities to support program planning, risk synthesis, governance, and reporting. AI-assisted outputs must be reviewed and validated, with data handled according to sensitivity requirements and delivery standards.

Requirements

  • At least 5 years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization.
  • Strong background in software engineering and a high level of technology experience.
  • Demonstrated experience using enterprise-authorized AI capabilities in 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, escalate when uncertain, and follow data-handling expectations.
  • Advanced stakeholder-management expertise, including establishing productive working relationships and influencing decisions across cross-functional teams and clients.
  • A track record of managing resources, budgets, and high-performing teams in a fast-paced, agile environment.
  • Proficiency in analytical reasoning and problem-solving to break business, technical, or operational objectives into manageable tasks and activities.
  • Experience with portfolio planning, quarterly prioritization, capacity management, and roadmap development.
  • Familiarity with tools such as Jira, Jira Align, Confluence, Git-based development platforms, continuous integration and delivery tools, test-management platforms, Power BI, Tableau, or similar engineering, reporting, and planning tools.
  • PMP, SAFe, Scrum Master, PgMP, or similar certification.
  • Comfort operating on the technology side of some of the largest and most critical programs.

Nice To Haves

  • Experience leading enterprise application development, software engineering delivery, application modernization, cybersecurity, cryptography, cloud, platform, or infrastructure transformation initiatives.
  • Working knowledge of modern software engineering and delivery practices, including architecture and design reviews, development workflows, release management, continuous integration and delivery, and production readiness.
  • Experience translating application-security, data-protection, encryption, or cryptographic-modernization requirements into actionable engineering plans and delivery outcomes.
  • Experience defining or governing testing strategies across unit, integration, performance, security, regression, and user-acceptance testing, including quality gates, defect resolution, and release readiness.
  • Financial-services or highly regulated industry experience.

Responsibilities

  • Develop and execute comprehensive project plans that include technical requirements, resource allocation, and timelines to deliver technology solutions on time.
  • Use enterprise-authorized AI capabilities to accelerate program planning and risk synthesis, validating outputs and handling data according to sensitivity requirements.
  • Identify and mitigate risks, address potential roadblocks, and implement contingency plans to maintain program momentum.
  • Collaborate with engineering, product, and business stakeholders to define program scope, objectives, and deliverables and align them with business goals.
  • Assess program performance using analytical reasoning, identify improvement areas, and implement data-driven optimizations.
  • Promote agile delivery practices and continuous improvement, fostering learning and innovation.
  • Promote reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment with delivery standards.
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