Cloud Platform Delivery Lead - End-to-End Product Excellence

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City seeks a Product Delivery Manager within Cloud Foundational Services (CFS) to drive end-to-end product delivery and optimize customer experiences. You will lead intake, dependencies, releases, and governance with SRE teams to enable timely implementations.

You will coordinate with customers and internal partners, refine requirements, and guide delivery timelines while applying data-driven approaches to improve efficiency across the delivery lifecycle.

Qualifications

• 5+ years of experience in product delivery or a relevant domain.
• Strong delivery capabilities and track record of continuous improvement.
• Experience with release management and deployment strategies.
• Excellent communication and stakeholder influence skills.
• Experience with public cloud providers at enterprise scale (GCP, AWS).
• Domain knowledge in Infrastructure or Technology Platforms.

Responsibilities

• Lead end-to-end product delivery processes and dependency management.
• Manage timelines, blockers, resourcing, and stakeholder liaison.
• Contribute to defining the product component roadmap and backlog.
• Refine requirements with customers and internal partners and provide feedback on timelines.
• Participate in quarterly planning with engineering teams.
• Drive data-driven innovation to optimize delivery lifecycle.

Skills

Stakeholder management

Cloud platforms

Release management

Agile tooling

Tools

Jira

Confluence

Job description

JPMorgan Chase & Co. in Jersey City seeks a Product Delivery Manager within Cloud Foundational Services (CFS) to drive end-to-end product delivery and optimize customer experiences. You will lead intake, dependencies, releases, and governance with SRE teams to enable timely implementations.

You will coordinate with customers and internal partners, refine requirements, and guide delivery timelines while applying data-driven approaches to improve efficiency across the delivery lifecycle.