AI Transformation Lead Technical Project Manager

JPMorgan Chase & Co.•Columbus, OH

About The Position

As a Vice President, AI Transformation Senior Project Manager within Employee Platforms Delivery & Execution, you will lead strategy-to-execution for an Operating Committee-sponsored, multi-year transformation spanning HR and Technology. You will translate executive intent into an outcomes framework, integrated roadmap, and disciplined delivery across multiple workstreams. In partnership with engineering, architecture, product, HR, and control functions, you will drive delivery transparency, manage interdependencies, enable sustained adoption, and embed responsible AI capabilities into program execution. The role owns end-to-end program delivery, executive governance and operating cadence, integrated planning across teams and vendors, cross-functional alignment, risk and dependency management, adoption and benefits realization, executive communications, and continuous improvement. It also champions responsible AI adoption through experimentation, lightweight pilots, learning loops, and the scaling of successful practices with appropriate governance and risk management. Success means establishing a clear, measurable roadmap with transparent execution health; achieving predictable delivery through strong governance and decision discipline; embedding solutions into business-as-usual with high adoption and realized benefits; and integrating responsible, value-adding AI practices into program execution.

Requirements

At least 7 years of experience, or equivalent expertise, in technology program delivery, transformation execution, or portfolio management within a large, complex 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-based 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.
Proven ability to deliver adoption and change outcomes, including communications, readiness, training coordination, and benefits tracking.
Excellent facilitation and stakeholder management skills, including driving alignment, negotiating trade-offs, and presenting clear recommendations to senior leaders.
Fluency in Agile, Scrum, Kanban, and Waterfall delivery methodologies, with judgment to apply the right approach to each initiative.
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, including 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.
Strong executive communication skills, including clear writing, crisp synthesis, and decision-oriented storytelling.
Agile/Scrum, PMP, Lean, or Prosci/change management certifications.
Bachelor’s degree in Business, Engineering, Information Technology, or a related field, or equivalent experience.

Responsibilities

Own end-to-end delivery of a complex, multi-year transformation, translating Operating Committee priorities into problem statements, outcomes, milestones, and 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, including sequencing, resourcing inputs, requirements and feature tracking, milestones, and cutover and rollout planning.
Drive alignment among engineering, architecture, product, HR, and stakeholders; clarify scope, value case, dependencies, and trade-offs; maintain accountability and remove blockers.
Enable change management, adoption, and benefits realization 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 appropriate escalation paths with clear options and recommendations.
Develop executive-ready narratives and insights, using synthesis and data visualization to communicate 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.
Strengthen delivery discipline and continuous improvement by applying modern delivery practices and helping teams improve operating rhythms, metrics, and ways of working.
Champion AI fluency and responsible adoption of agentic capabilities, identifying opportunities to embed AI-assisted workflows into program execution in partnership with product, engineering, and control stakeholders.
Lead experimentation and learning loops, running lightweight pilots with defined success measures, capturing lessons learned, and scaling what works with appropriate governance and risk management.