Senior Product Associate, Payments

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Chicago, ILNew York, NYJersey City, NJ
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

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Similar $188k
$142k $238k
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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 1244 open roles on FindRole.

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At a glance

TL;DR · Senior Product Associate, Payments

The Senior Product Associate - Payments joins the Embedded Payments Analytics Product Management team to deliver analytics products that enable self-service insights and decisioning for internal teams. Working alongside product managers, engineering, data engineering, and AI/ML stakeholders, the role involves supporting the product development lifecycle by defining user workflows, writing epics and user stories, and conducting user research to synthesize problem statements. Key responsibilities include shaping capabilities across SQL-driven analytics, Databricks-based data and compute, semantic layers, and AI-enabled analytics experiences. The position requires proficiency in SQL, dimensional modeling, and data quality concepts, with preferred experience in Python, Jira, and Confluence. The role specifically addresses the technical challenge of providing reliable, governed self-service analytics while managing upstream dependencies like data lineage, ETL schedules, and pipeline reliability.

What you'll do

  • Support the delivery of analytics products that improve data discovery, usability, and trust for business users.
  • Assist with user research by gathering stakeholder input and synthesizing insights into clear problem statements.
  • Write epics and user stories that describe analytics workflows, metric definitions, and data logic.
  • Partner with engineering and data teams to translate business questions into implementable analytics solutions.
  • Manage upstream dependencies including ETL schedules, data quality checks, and schema changes to ensure downstream reliability.
  • Collect and analyze product performance metrics to inform strategic decision-making.
  • Participate in product planning sessions to contribute ideas and assist in the execution of product initiatives.
  • Define user workflows and requirements in collaboration with the product manager to deliver customer value.

What we're looking for

  • 1+ years of experience in product management, analytics, BI, data engineering, or software delivery.
  • Foundational knowledge of the product development lifecycle and comfort operating in Agile teams.
  • Working proficiency in SQL to validate metric logic, perform exploratory analysis, and troubleshoot data issues.
  • Familiarity with analytics concepts including KPIs, reporting, basic dimensional modeling, and data quality.
  • Strong written and verbal communication skills to turn ambiguous requests into clear requirements.
  • Exposure to product life cycle activities including discovery and requirements definition.
  • Emerging knowledge of data analytics and data literacy.
  • Experience with Databricks, semantic layers, Python, Jira/Confluence, or AI/ML-enabled analytics (preferred).

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