Technical Program Manager

JPMorganChase•Plano, TX

About The Position

As a Lead Technical Program Manager in Enterprise Product Security (EPS), supporting the SaaS Security program, you will drive the successful delivery of complex technology and cybersecurity programs that support business goals across the firm. You will use technical expertise to develop solutions while managing resources, budgets, and teams. The role calls for analytical reasoning, adaptability, communication, and stakeholder-management skills to navigate ambiguity, align initiatives with business goals, 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. You will lead cross-functional initiatives involving engineering, cybersecurity, risk, business, and technology teams. The role also uses enterprise-authorized AI capabilities to support program planning, risk synthesis, governance, and reporting, with validation of outputs and appropriate handling of sensitive data. You will champion agile delivery and continuous improvement.

Requirements

  • Formal training or certification with 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 in 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, 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.
  • Demonstrated experience coordinating cross-functional engineering, security, risk, and business teams to deliver measurable outcomes.
  • Proficiency in analytical reasoning and problem-solving to break business, technical, or operational objectives into manageable tasks and activities.

Nice To Haves

  • Experience supporting or leading complex programs in cybersecurity, technology, SaaS, cloud, or related security engineering disciplines within a large organization.
  • Technical understanding of SaaS platforms, security controls, identity and access management, integrations, and security architecture, with the ability to translate technical concepts into program activities and deliverables.
  • Experience coordinating technology onboarding, adoption, remediation, or control implementation across multiple applications and teams.
  • Experience with program governance and execution, including plans, milestones, dependencies, risks and issues, metrics, reporting, and status communication.
  • Ability to work across engineering, cybersecurity, architecture, product, risk, controls, and business teams to translate complex or ambiguous objectives into clear scope, ownership, milestones, and measurable outcomes.
  • Strong written and verbal communication skills, including summarizing technical and program information for technical teams and leadership audiences.
  • Working knowledge of cybersecurity, technology risk, or control environments and ability to connect risk and control requirements to technology delivery.
  • Experience using Agile delivery practices and modern program-management tools to manage and communicate work.

Responsibilities

  • Drive complex cross-functional initiatives through execution, establishing ownership, milestones, dependencies, success measures, and escalation paths.
  • Develop and execute project plans that incorporate technical requirements, resource allocation, and timelines.
  • Use enterprise-authorized AI capabilities for program planning and risk synthesis, including consolidating inputs into integrated plans, RAID, and executive-ready updates; validate outputs and handle data according to sensitivity requirements.
  • Identify and mitigate risks, address potential roadblocks, and implement contingency plans.
  • Collaborate with engineering, product, business, and other cross-functional stakeholders to define program scope, objectives, and deliverables and align them with business goals.
  • Assess program performance, identify improvement opportunities, and implement data-driven optimizations.
  • Champion 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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