Data Product Manager, Associate

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Wilmington, DEColumbus, OH
Employment
Full-time
Posted
85 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $180k
$125k $237k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $136,200–$224,000.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Data Product Manager, Associate

The Data Product Manager - Associate joins the Talent Data Product team to drive product development and optimization for talent lifecycle systems. This execution-oriented role involves managing the roadmap for data products supporting Talent Acquisition, Onboarding, Off-boarding, and Workforce Planning. You will conduct user research, journey mapping, and stakeholder interviews to translate business needs into epics, user stories, and prioritized backlogs. Collaborating with Business Intelligence, AI/ML, Product, Information Architecture, and Data Engineering teams, you will deliver curated, well-governed datasets and manage data catalogs, metadata, and lineage. Key technical skills include SQL for data testing and validation, along with knowledge of data analytics, data management, and cloud ecosystems. You will ensure data quality and compliance within a regulated environment to create a frictionless employee experience.

What you'll do

  • Conduct user discovery and stakeholder interviews to gather business requirements and identify product opportunities.
  • Write requirements, epics, and user stories to support the product development lifecycle.
  • Maintain a transparent, prioritized backlog and coordinate the delivery of data products.
  • Partner with engineering and AI/ML teams to onboard new data sources and transform them into usable offerings.
  • Establish and maintain data governance, quality, and lifecycle management practices for talent data.
  • Own the development of data catalogs, metadata, glossaries, and lineage capabilities for specific datasets.
  • Analyze and track product metrics including work-to-time, cost, and quality targets.
  • Drive continuous improvement of data products using stakeholder feedback and usage insights.

What we're looking for

  • 2+ years of experience or equivalent expertise in product management or a relevant domain area.
  • Proficient knowledge of the product development life cycle.
  • Experience in product life cycle activities including discovery and requirements definition.
  • Developing knowledge of data analytics and data management.
  • Ability to translate business needs into epics, features, and user stories with clear acceptance criteria.
  • Proficiency in SQL for data testing, validation, and ad-hoc analysis.
  • Strong stakeholder engagement and communication skills to translate technical capabilities into business outcomes.
  • Understanding of privacy and compliance considerations related to HR data (preferred).

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