AI Transformation Lead Technical Program Manager

JPMorganChase•Jersey City, NJ

About The Position

As an AI Transformation Lead Technical Program Manager at JPMorgan Chase in the Corporate Sector—Employee Platforms, you will drive the delivery of complex technology programs that support business goals across the firm. You will lead strategy-to-execution for an Operating Committee-sponsored, multi-year transformation spanning HR and Technology, translating executive intent into an outcomes framework, an integrated roadmap, and disciplined delivery across workstreams. You will partner with engineering, architecture, product, HR, and control functions to promote delivery transparency, manage interdependencies, support sustained adoption, and embed responsible AI capabilities into program execution.

Requirements

At least 5 years of experience, or equivalent expertise, in technical program management, leading complex technology projects and programs in a large organization.
Ability to lead delivery across multiple teams and stakeholder groups, including complex planning, dependency management, and executive-level communication.
Strategic and analytical capability to define success measures, assess performance, identify improvement opportunities, and drive data-based metrics such as OKRs/KPIs and delivery-health indicators.
Strong governance and controls orientation, including risk and issue management, documentation rigor, and engagement with operating committees or steering groups.
Experience delivering adoption and change outcomes, including communications, readiness, training coordination, and benefits tracking, as part of sustained transformation.
Excellent facilitation and stakeholder-management skills, including the ability to drive alignment, negotiate trade-offs, and present clear recommendations to senior leaders.
Fluency in delivery methodologies and tools, including Agile, Scrum, Kanban, and Waterfall, with sound judgment about which approach to use.
Adaptability and structured problem-solving in fast-paced, ambiguous environments.
Strong technical fluency across modern platforms and digital tools to partner effectively with architecture and engineering teams.
Prior experience championing AI fluency and adoption of agentic capabilities, including identifying and delivering AI-assisted program-execution workflows in partnership with product, engineering, and control stakeholders.
AI fluency and intellectual curiosity, with the ability to evaluate and apply agentic tools to improve delivery execution and transparency while balancing governance and risk.

Nice To Haves

Experience supporting programs spanning HR and Technology or employee platforms.
Certifications in Agile/Scrum, PMP, Lean, or Prosci/change management.

Responsibilities

Own end-to-end delivery of a complex, multi-year transformation by translating Operating Committee priorities into problem statements, target outcomes, milestones, and measurable success metrics.
Lead governance and the executive operating cadence, including OKRs/KPIs, steering materials, RAID, dependency management, delivery-health reporting, and decision and approval forums.
Create and maintain integrated plans across teams and vendors, covering sequencing, resourcing inputs, requirements and feature tracking, milestones, and cutover and rollout planning.
Align engineering, architecture, product, HR, and other stakeholders on scope, value, dependencies, and trade-offs; maintain workstream accountability and remove blockers.
Enable change management, adoption, and benefits realization in partnership with HR and change stakeholders, including communications, training approaches, readiness tracking, and outcome measurement.
Manage risks, issues, and dependencies proactively; develop mitigation plans and use escalation paths with clear options and recommendations.
Prepare executive-ready narratives and data visualizations communicating progress, risks, trade-offs, required decisions, and recommendations.
Facilitate workshops and decision forums to build shared understanding, resolve ambiguity, and maintain momentum across HR and Technology leadership.
Improve delivery discipline and predictability by applying modern delivery practices and helping teams adapt their operating rhythms, metrics, and ways of working.
Champion AI fluency and responsible adoption of agentic capabilities, identifying and delivering opportunities for AI-assisted workflows in program execution in partnership with product, engineering, and control stakeholders.
Run lightweight pilots with defined success measures, capture lessons learned, and scale successful approaches with appropriate governance and risk management.