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Product Delivery Manager - AI Foundations

Job in Wilmington, New Castle County, Delaware, 19894, USA
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Change Management, IT Project Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Are you ready to lead at the intersection of artificial intelligence and product delivery — helping one of the world's most influential financial institutions bring next-generation agentic solutions to life? This is your opportunity to make a lasting impact by shaping how AI-powered products are designed, built, and deployed across Consumer and Community Banking.

As a Product Delivery Manager - AI Foundations at JPMorgan

Chase within the Consumer and Community Banking AI Foundations organization, you will play a pivotal role in enabling teams to deliver agentic products, platforms, and services safely, securely, and  will drive end-to-end delivery processes, manage cross-functional dependencies, and serve as a key connector between technology, product, and business stakeholders. Your work will directly influence how AI capabilities are operationalized across the firm, helping teams move faster and smarter while maintaining the highest standards of risk and compliance.

Job

responsibilities
  • Lead end-to-end product delivery processes — including intake, dependency management, release management, product operationalization, and delivery feasibility decision-making — while identifying and escalating opportunities to improve efficiency and functional coordination
  • Drive change management activities across functional partners, ensuring alignment and adherence to the firm's risk, controls, compliance, and regulatory requirements
  • Manage timelines, track dependencies, and proactively address blockers to keep delivery on track while ensuring adequate resourcing across work streams
  • Partner with cross-functional stakeholders to align on delivery priorities, communicate progress, and resolve impediments that impact product outcomes
  • Contribute to the development and continuous improvement of product delivery lifecycle (PDLC) and software delivery lifecycle (SDLC) frameworks tailored to agentic AI solutions
  • Monitor and report on product performance metrics, surfacing insights that inform delivery decisions and drive operational improvements
  • Support the operationalization of AI products and platforms, ensuring readiness for deployment across Consumer and Community Banking teams
  • Collaborate with technology, design, data, and business teams to ensure cohesive delivery strategies that balance speed, quality, and risk
Required qualifications, capabilities, and skills
  • Formal training or certification on product engineering concepts and 5+ years applied experience
  • Demonstrated ability to execute operational management and change readiness activities in a complex, matrixed organization
  • Strong understanding of product delivery principles with a proven track record of implementing continuous improvement processes
  • Experience in product or platform-wide release management, including deployment processes and strategies
  • Experience driving organizational transformation aligned to how teams work within product and software delivery lifecycle frameworks
  • Ability to manage multiple concurrent work streams, prioritize effectively, and communicate clearly with both technical and non-technical stakeholders
  • Strong analytical and problem-solving skills with the ability to translate ambiguous challenges into structured delivery plans
Preferred qualifications, capabilities, and skills
  • Proficient knowledge of the product development lifecycle, design thinking, and data analytics
  • Experience with agentic AI operations within product and software delivery lifecycle frameworks
  • Familiarity with AI/ML product delivery, including the unique risk, compliance, and operationalization considerations associated with deploying AI at scale
  • Experience working within financial services or other highly regulated industries
  • Knowledge of agile delivery methodologies and tooling used to manage large-scale product programs
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