Senior AI Product Delivery Lead

JPMorgan Chase & Co.

Wilmington (DE)

On-site

USD 120,000 - 165,000

Full time

3 days ago

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Job summary

JPMorgan Chase & Co. in Wilmington, DE, seeks a Sr Product Delivery Associate to drive AI foundations initiatives, coordinating product, engineering, and business stakeholders to move complex AI programs forward.

You will lead agile ceremonies, manage delivery artifacts, and monitor metrics, shaping how AI capabilities are built, deployed, and scaled across the firm. This role requires 3+ years in product delivery and proficiency with Jira/Confluence, with strong communication and

Qualifications

Formal training or certification on product engineering concepts and 3+ years applied experience.
Experience supporting or managing delivery of technology or data-driven products in a fast-paced environment.
Proficiency with agile delivery methodologies and tools such as Jira, Confluence, or equivalent platforms.
Strong organizational and communication skills with the ability to manage multiple workstreams simultaneously.
Proven ability to build relationships and collaborate effectively with technical and non-technical stakeholders.
Experience creating and maintaining delivery documentation including roadmaps, status updates, and risk logs.
Experience with Claude and Copilot.

Responsibilities

Coordinates end-to-end product delivery activities across AI Foundations initiatives, ensuring milestones, dependencies, and risks are actively tracked and communicated.
Partners with product managers, engineers, data scientists, and business stakeholders to align on priorities, delivery timelines, and success criteria.
Facilitates agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog grooming to maintain team velocity and focus.
Identifies and escalates delivery blockers, risks, and issues in a timely manner, driving resolution across cross-functional teams.
Develops and maintain delivery artifacts including roadmaps, status reports, RAID logs, and release plans to ensure transparency across stakeholders.
Supports the intake, scoping, and prioritization of new AI product requests in alignment with strategic objectives.
Monitors and reports on key delivery metrics, using data to drive continuous improvement in team performance and product outcomes.
Contributes to the evolution of delivery frameworks and best practices within the AI Foundations organization.