Technical Programme Manager, Applied AI

JPMorgan Chase JPMorgan Chase · Banking · LONDON, United Kingdom · Commercial & Investment Bank

Technical Programme Manager focused on delivering agentic AI systems within a large enterprise, managing complex portfolios, shaping operating models, and facilitating AI governance. The role involves using and validating enterprise AI tools for program management tasks.

What you'd actually do

  1. Maintain a trusted release calendar spanning all delivery streams, with clear dependencies and milestones.
  2. Track delivery status, surface slippage and blockers early, and drive resolution.
  3. Establish and enforce consistent delivery and governance practices for technical teams.
  4. Manage cross-functional and matrixed dependencies with operations, technology, control, and product partners.
  5. Own the cadence and content of progress reporting to senior management.

Skills

Required

  • Demonstrated experience running complex, multi-stream delivery within high-stakes environments.
  • Fluency in software delivery, data, and AI to engage with technical teams and assess delivery risk.
  • Proven contribution to operating model, organisational design, or transformation strategy.
  • Ability to motivate and align cross-functional and matrixed teams without direct authority.
  • Resilience in leading through adversity and shifting priorities.
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support technical 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.

Nice to have

  • Experience in operationalising strategy into sequenced, fundable, and trackable roadmaps.
  • Background in facilitating planning and tracking of budgets and headcount.
  • Familiarity with AI governance processes and frameworks.
  • Experience leading and developing programme management and PMO teams.
  • Ability to use data to inform prioritisation and resource allocation.
  • Experience in managing stakeholder communication and reporting.
  • Knowledge of organisational design and transition planning.

What the JD emphasized

  • agentic AI systems
  • agent-first organisation
  • AI governance processes
  • enterprise-authorized AI capabilities
  • validate outputs and handling data according to sensitivity requirements
  • Promotes reuse-first, AI-assisted practices for program governance and continuous improvement routines, ensuring human review and alignment to delivery standards.
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support technical 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.

Other signals

  • agentic AI systems
  • agent-first organisation
  • AI governance processes
  • enterprise-authorized AI capabilities