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Location
In office (Jersey City, Wilmington)
Seniority
Middle · 4+ years exp
Visa
H-1B filings in 12 months: 3,429 · for this role: 257 · green card filings: 933

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Oct 30, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

Build your career as a Data & Analytics Project Manager, where you'll contribute to meaningful projects that support how our teams use data to make smarter decisions. Join a collaborative team that values curiosity, learning, and innovation - offering strong opportunities for professional growth and skill development. Apply your analytical and project coordination skills to make a tangible impact, in a supportive environment that invests in your success. Your next career move starts here!

As a Project Managerwithin JPMorganChase, you will support the planning and execution of data and analytics projects and initiatives. Working under the guidance of senior team members, you will help ensure project activities stay aligned with business objectives. You will apply foundational knowledge of project management principles and your developing skills in data analytics and digital tools to help drive successful outcomes. Your role will involve supporting day-to-day project coordination, contributing to problem-solving, and partnering across teams. Your ability to stay organized, communicate clearly, and collaborate effectively will be key to your success in this role.

Job responsibilities

  • Support the planning and execution of cross-functional data and analytics projects, applying your analytical and digital skills to help deliver results aligned with business objectives.
  • Help develop and maintain project plans, tracking milestones and supporting timely communication of progress to stakeholders.
  • Assist with the implementation of analytics and reporting initiatives.
  • Collaborate with team members to help identify and escalate issues and risks that arise during project execution.
  • Contribute to analysis that evaluates potential scenarios and their impact, supporting informed decision-making.
  • Ensure project work is completed in accordance with Risk, Control, and other relevant firm-wide guidelines, helping maintain our control environment.

Required qualifications, capabilities, and skills

  • Experience supporting or coordinating projects from start to finish, demonstrated through 4+ years of experience or equivalent.
  • Developing analytical, technical, and problem-solving skills applied in a project or data context.
  • Exposure to data, analytics, reporting, and BI tooling.
  • Experience using data to analyze trends and support insights and recommendations.
  • Proficiency using software applications and digital tools to solve problems, improve processes, and collaborate with stakeholders.
  • Strong organizational and communication skills, with the ability to work effectively within a team.

Preferred qualifications, capabilities, and skills

  • Interest in or exposure to applying AI tools to support data-driven decision-making.
  • Familiarity with automation concepts to help streamline workflows and improve efficiency.
  • A curious, collaborative mindset with an openness to new technologies and creative problem-solving.
  • Experience working with dashboard tools such as Tableau, Power BI, or Qlik.
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