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AI Transformation Lead Technical Program Manager

JPMorgan Chase
Jersey City, USA
Full-time
Manager · 5+ years experience
Onsite
Discovered 1 weeks ago

Full Job Posting

Job Responsibilities

  • Own end-to-end program delivery for a complex, multi-year transformation, translating Operating Committee priorities into clear problem statements, target outcomes, milestones, and measurable success metrics.
  • Lead governance and executive operating cadence, including OKRs/KPIs, executive steering materials, RAID, dependency management, delivery health reporting, and decision/approval forums to enable timely, well-informed decisions.
  • Create and maintain integrated program plans across teams and vendors, including sequencing, resourcing inputs, requirements/feature tracking, milestones, and cutover/rollout planning to ensure on-time delivery and seamless integration with existing platforms.
  • Drive cross-functional alignment with engineering, architecture, product, HR, and key stakeholders to clarify scope, value case, dependencies, and trade-offs; maintain accountability across workstreams and remove blockers.
  • Enable change management, adoption, and benefits realization, partnering with HR and change stakeholders on communications, training approaches, readiness tracking, and measurement of realized outcomes to ensure solutions embed into business-as-usual.
  • Proactively manage risks, issues, and dependencies, surfacing concerns early, driving mitigation plans, and executing appropriate escalation paths with clear options and recommendations.
  • Deliver executive-ready narratives and insights, using crisp synthesis and data visualization to communicate progress, risks, trade-offs, decisions required, and recommendations.
  • Facilitate workshops and decision forums that build shared understanding, resolve ambiguity, and maintain momentum across HR and Technology leadership.
  • Strengthen delivery discipline and continuous improvement, applying modern delivery practices and helping teams inspect/adapt operating rhythms, metrics, and ways of working to improve predictability and outcomes.
  • Champion AI fluency and responsible adoption of agentic capabilities, identifying and delivering opportunities to embed AI-assisted workflows into program execution (e.g., portfolio insights, delivery automation, risk identification, stakeholder communications) 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.

Required Qualifications, Capabilities, and Skills

  • 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.
  • Strong strategic and analytical capability to define success measures, assess performance, identify improvement opportunities, and drive data-driven metrics (OKRs/KPIs, delivery health indicators).
  • Strong governance and controls orientation, including risk/issue management, documentation rigor, and operating committee/steering engagement.
  • Proven ability to deliver adoption and change outcomes (communications, readiness, training coordination, benefits tracking) as part of sustained transformation.
  • Excellent facilitation and stakeholder management skills; comfortable driving alignment, negotiating trade-offs, and presenting clear recommendations to senior leaders.
  • Fluency across delivery methodologies and tools (Agile, Scrum, Kanban, Waterfall) with sound judgment to apply the right approach per initiative.
  • High adaptability and structured problem-solving in fast-paced, ambiguous environments.
  • Strong technical fluency across modern platforms and digital tools, enabling effective partnership with architecture and engineering teams.
  • Demonstrated prior experience as a champion for AI fluency and adoption of agentic capabilities, including identifying and delivering tools and opportunities to embed AI-assisted workflows into program execution (e.g., portfolio insights, delivery automation, risk identification, stakeholder communications) 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.

Preferred Qualifications, Capabilities, and Skills

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

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