Senior Data Platform Delivery Lead

JPMorganChase

Wilmington (DE)

On-site

USD 120,000 - 180,000

Full time

25 hours ago
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Benefits offered by this job

Health care
Competitive salary
Retirement plan

Job summary

JPMorgan Chase is seeking a Senior Product Delivery Associate for our Data Platforms team to drive end-to-end delivery of enterprise-grade data platforms, collaborating with product managers, engineers, and analysts to turn requirements into delivered outcomes across the full development lifecycle.

You will own the backlog, manage dependencies, and ensure features are delivered on time with strong data quality, scalability, and resilience, supporting batch, asynchronous, and real-time data

Qualifications

  • 3+ years of experience or equivalent in product management or a related domain area.
  • Experience in product deployment processes
  • Demonstrated experience owning and refining a product backlog and driving delivery through agile practices (Scrum, Kanban, or SAFe).

Responsibilities

  • Collaborate with Product Delivery Manager to execute key delivery tasks and boost efficiencies.
  • Manage change readiness activities and ensure regulatory compliance.
  • Own and drive the product delivery lifecycle from intake to release with high quality.
  • Translate business needs into clear user stories and acceptance criteria, maintaining alignment with business value.

Skills

Product management
Agile methodologies
SQL
Python
Data modeling
Stakeholder management
Cross-functional collaboration
Cloud data platforms

Education

Technical degree in CS/Engineering/Data

Tools

Snowflake
AWS Data Lake
Info1
JIRA

Job description

JPMorgan Chase is seeking a Senior Product Delivery Associate for our Data Platforms team to drive end-to-end delivery of enterprise-grade data platforms, collaborating with product managers, engineers, and analysts to turn requirements into delivered outcomes across the full development lifecycle.

You will own the backlog, manage dependencies, and ensure features are delivered on time with strong data quality, scalability, and resilience, supporting batch, asynchronous, and real-time data

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