AI Transformation Lead Technical Program Manager- Workforce / HR Platforms

JPMorganChase•Jersey City, NJ

About The Position

As an AI Transformation Lead Technical Program Manager in JPMorgan Chase’s Corporate Sector, Employee Platforms, you will drive delivery of complex technology projects and programs that support firmwide business goals. 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 multiple workstreams. You will partner with engineering, architecture, product, HR, and control functions to provide delivery transparency, manage interdependencies, support sustained adoption, and embed responsible AI capabilities into program execution. The role owns end-to-end program delivery, executive governance, integrated planning, cross-functional alignment, risk and dependency management, and change adoption and benefits realization. It also develops executive-ready narratives, facilitates workshops and decision forums, and strengthens delivery practices. The position champions responsible AI adoption by identifying opportunities for AI-assisted program workflows, running measured pilots, and scaling effective approaches with appropriate governance and risk management.

Requirements

At least 5 years of experience, or equivalent expertise, in technical program management leading complex technology projects and programs in a large organization.
Demonstrated 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-informed metrics such as OKRs/KPIs and delivery health indicators.
Strong governance and controls orientation, including risk and issue management, documentation rigor, and operating committee or steering engagement.
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 aligning stakeholders, negotiating trade-offs, and presenting recommendations to senior leaders.
Fluency in Agile, Scrum, Kanban, and Waterfall delivery methodologies and judgment to apply an appropriate approach.
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.
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.
Experience supporting programs spanning HR and Technology, Employee Platforms, or Workforce Solutions, as well as AI transformation programs.

Nice To Haves

Strong executive communication skills, including clear writing, concise synthesis, and decision-oriented storytelling.
Certifications in Agile/Scrum, PMP, Lean, or Prosci/change management.

Responsibilities

Own end-to-end delivery of a complex, multi-year transformation, translating Operating Committee priorities into problem statements, outcomes, milestones, and measurable success metrics.
Lead governance and executive operating cadence, including OKRs/KPIs, steering materials, RAID, dependency management, delivery health reporting, and decision and approval forums.
Create and maintain integrated program plans across teams and vendors, covering sequencing, resourcing inputs, requirements and feature tracking, milestones, and cutover and rollout planning.
Drive alignment across engineering, architecture, product, HR, and stakeholders on scope, value, dependencies, and trade-offs; maintain workstream accountability and remove blockers.
Enable change management, adoption, and benefits realization with HR and change stakeholders through communications, training approaches, readiness tracking, and outcome measurement.
Proactively manage risks, issues, and dependencies; develop mitigation plans and escalate with clear options and recommendations as appropriate.
Deliver executive-ready progress updates and insights using concise synthesis and data visualization to communicate risks, trade-offs, decisions, and recommendations.
Facilitate workshops and decision forums to build shared understanding, resolve ambiguity, and sustain momentum across HR and Technology leadership.
Improve delivery discipline and ways of working by applying modern delivery practices and helping teams review and adapt operating rhythms and metrics.
Champion AI fluency and responsible adoption of agentic capabilities, identifying opportunities for AI-assisted workflows such as portfolio insights, delivery automation, risk identification, and stakeholder communications.
Lead experimentation and learning loops through lightweight pilots with defined success measures; capture lessons and scale effective approaches with suitable governance and risk management.