Senior Data Platform Delivery Lead

JPMorgan Chase; Wilmington (DE); Hybrid; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase is seeking a Senior Product Delivery Associate for our Data Platforms team to own end-to-end delivery of enterprise-class data platforms, including user-consumption services, with a focus on scalable, resilient architectures.

You will partner with business analysts, engineering, and architecture to turn requirements into delivered outcomes, manage the backlog, and ensure features are delivered on time and with value.

Qualifications

• 3+ years in product management or equivalent domain.
• 3+ years in product delivery, ownership, or related technology delivery roles.
• Experience with operational management and change readiness activities.
• Proficient in SQL, Python; data modeling and semantic layers.

Responsibilities

• Collaborate with Product Delivery Manager to execute key delivery tasks.
• Manage the product backlog and delivery plan; coordinate dependencies.
• Own the product delivery lifecycle from intake to release; ensure high-quality delivery.
• Translate business needs into clear user stories and acceptance criteria; adapt to guidance.
• Act as liaison among product, engineering, and architecture teams; manage risks and blockers.
• Validate features against requirements through testing and maintain documentation.

Skills

Product management

Delivery ownership

SQL

Python

Data engineering

Agile/Scrum/SAFe

Cross-team coordination

Communication skills

Problem-solving

Education

BS/MS in Computer Science or Engineering

CSPO/POPM/PMP certification

Tools

Snowflake

AWS Data Lake

Info1

Jira/JIRA Align

Job description

JPMorgan Chase is seeking a Senior Product Delivery Associate for our Data Platforms team to own end-to-end delivery of enterprise-class data platforms, including user-consumption services, with a focus on scalable, resilient architectures.

You will partner with business analysts, engineering, and architecture to turn requirements into delivered outcomes, manage the backlog, and ensure features are delivered on time and with value.