AI Delivery Lead Technical Program Manager

Job Description

As a Technical Program Manager at JPMorgan Chase, you will lead complex technology projects and programs that advance business goals and create value for clients, employees, and stakeholders. Leveraging broad technical expertise, analytical reasoning, and adaptability, you will develop innovative solutions and navigate ambiguity and change. Your strong communication skills will enable effective collaboration with cross-functional teams and the management of stakeholder relationships, ensuring alignment on project objectives and governance. By optimizing resources, proactively managing risks, and driving strategic decision-making, you will be instrumental in delivering high-impact projects that shape the firm’s future. Your self-motivation and proactive approach will be essential for independently managing multiple priorities and ensuring programs align with business objectives and timelines, delivering impactful results in a fast-paced environment.

Key Attributes for Success

• Self-motivated and proactive, committed to continuous improvement and driving impactful results.
• Possesses a strong strategic vision, aligning project goals with broader business objectives and anticipating future opportunities and challenges.
• Thrives in ambiguity, bringing clarity to stakeholders and collaborating effectively both independently and within teams.

Responsibilities

• Independently manage technical programs, integrating AI strategy to achieve program goals and deadlines.
• Maintain project plans, track progress, report status, and escalate risks/issues as needed.
• Proactively manage Risks, Assumptions, Issues, and Dependencies (RAID) for assigned projects.
• Identify and implement opportunities to improve project management processes, leveraging AI-enabled tools and sharing best practices.
• Coordinate with cross-functional teams, product owners, and external partners to ensure effective project delivery and communicate strategy.
• Organize and facilitate project meetings, prepare agendas, capture notes, and follow up on action items.
• Track key metrics and outcomes, support continuous improvement, and maintain inventories of initiatives for gap analysis.
• Drive strategic program vision and coordinate priorities across various workstreams.
• Lead teams, stakeholders, and cross-functional partners to achieve optimal business value.
• Use collaborative storytelling to drive cross-functional alignment for program work.
• Drive measurable outcomes with clear, objective success metrics.
• Lead high-stakes tech efforts with <72>

Required Qualifications, Capabilities, and Skills

• 7+ years of product management, program management, or relevant experience.
• 5+ years managing dynamic and fast-paced portfolios of work.
• Strategic thinking, strong problem-solving abilities, and technical depth.
• Expertise in risk and change management, influencing, and negotiation.
• Results-driven execution and adaptability in a fast-paced environment.
• Strong organizational and project management skills; able to manage multiple priorities independently.
• Proficiency with GenAI tools (e.g., LLM Suite) and other firm-approved AI tools.
• Excellent communication and interpersonal skills for stakeholder engagement.
• Analytical skills to track key performance metrics, monitor project health, and identify areas for improvement.
• Collaborative mindset; able to work across teams and with external partners.
• Proficiency in Office 365 project management tools (e.g., Teams, PowerPoint, Excel, SharePoint).
• Strong aptitude for rapidly acquiring new skills and knowledge in technology and AI.
• Analytical reasoning, problem-solving, and the ability to break down objectives into tasks.
• Demonstrated self-motivation and commitment.

Preferred Qualifications, Capabilities, and Skills

• Proficiency with developer tooling (e.g., Visual Studio Code (VS Code), GitHub Copilot) and familiarity with AI integration patterns and protocols such as MCP (Model Context Protocol).
• Familiarity with BI tools (e.g., Alteryx, Tableau) plus Python for automation, analysis, or tooling.
• Working knowledge of one or more of the following areas:
  • Resiliency & Capacity: reliability targets; plan availability and disaster recovery
  • Efficiency Governance: unit cost awareness, waste reduction, utilization guardrails.
  • Database Fundamentals: resiliency, backup/restore, upgrades, migrations.
  • Incident Leadership: coordinate response, comms, timelines, closeout actions.
  • Delivery Orchestration: end-to-end delivery lifecycle and impact.
  • Pipelines: CI/CD concepts, release workflows, and deployment controls.
  • Patterns & IaC: reusable engineering patterns and infrastructure-as-code fundamentals
  • Jira Align: manage epics/features and roadmap/status reporting.