Product Delivery Manager - AI Foundations

JP Morgan Chase; Wilmington (DE); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase seeks a Product Delivery Manager - AI Foundations to drive end-to-end delivery of agentic AI products and platforms within Consumer and Community Banking. You will coordinate intake, dependencies, release management, and operationalization while ensuring risk, controls, and regulatory requirements are met.

You will partner with technology, design, data, and business teams to balance speed, quality, and risk, measuring product performance to guide improvements and scale delivery

Qualifications

• Formal training or certification on product engineering concepts.
• 5+ years applied experience in product delivery or product engineering.
• Experience executing operational management and change readiness in a complex, matrixed organization.
• Experience in product or platform-wide release management, including deployment processes.
• Experience driving organizational transformation within product and software delivery lifecycles.
• Ability to manage multiple concurrent workstreams, prioritize effectively, and communicate clearly with stakeholders.
• Strong analytical and problem-solving skills to translate ambiguous challenges into structured delivery plans.

Responsibilities

• Lead end-to-end product delivery processes—intake, dependency management, release management, product operationalization, and delivery decisions—while spotting efficiency gains.
• Drive change management across functional partners, ensuring alignment with risk, controls, and regulatory requirements.
• Manage timelines, dependencies, and blockers to keep delivery on track with adequate resources.
• Partner with cross-functional stakeholders to align on delivery priorities, communicate progress, and resolve impediments affecting outcomes.
• Contribute to development and improvement of PDLC/SDLC frameworks for agentic AI solutions.
• Monitor and report product performance metrics, surfacing insights to inform delivery decisions and improvements.
• Support operationalization of AI products and platforms, readying them for deployment across teams.
• Collaborate with technology, design, data, and business teams to balance speed, quality, and risk in delivery strategies.

Skills

Product engineering concepts

Operational management

Continuous improvement

Release management

Stakeholder communication

Matrixed organization navigation

Tools

Agile tooling

Job description

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 JPMorganChase 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 at scale. You 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 workstreams
• 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 workstreams, 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