Product Associate — Merchant Service Data Platform

JPMorgan Chase & Co.•Palo Alto, CA
•$88,350 - $130,000

About The Position

The Product Associate works on the Merchant Services Data Platform team, which drives the vision, strategy, and execution of a scalable, secure, high-performance data platform. The platform enables internal and external clients to access, analyze, and operationalize data through APIs, self-service tools, and managed services. This role connects Merchant Services product teams with the data that powers them. The Product Associate investigates available data and gaps, helps shape a trusted single source of truth, and supports teams in finding and using data. Working hands-on with Snowflake, the associate contributes to improving data discovery, trust, and use across the organization. The position is part of J.P. Morgan Payments within the Commercial & Investment Bank. Employment offers are contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries, under Section 19 of the Federal Deposit Insurance Act.

Requirements

  • Bachelor’s degree in business, computer science, data analytics, engineering, economics, or a related discipline.
  • At least 2 years of experience in product management, product operations, business analysis, analytics, technology, or a related field.
  • Foundational knowledge of the product development lifecycle.
  • Basic familiarity with SQL, data concepts, databases, APIs, or data platforms.
  • Strong analytical and problem-solving skills, including the ability to investigate ambiguous questions.
  • Ability to translate business needs into clear requirements, documentation, and actionable next steps.
  • Ability to collaborate effectively with product, engineering, data, and business stakeholders.
  • Ability to manage multiple priorities and work effectively in a fast-paced, collaborative environment.
  • Comfort learning and applying AI-assisted tools in day-to-day work.
  • Experience with Snowflake or a similar modern cloud data platform.

Nice To Haves

  • Exposure to data quality, data governance, data lineage, metadata, access controls, or data discoverability.
  • Familiarity with APIs, data pipelines, data modeling, ETL/ELT processes, or analytics workflows.
  • Exposure to self-service analytics, reporting, semantic layers, data catalogs, or reusable metrics.
  • Experience supporting product discovery, requirements definition, backlog management, or Agile delivery.
  • Exposure to payments, merchant acquiring, or financial services.
  • Ability to communicate technical data concepts clearly to both technical and non-technical audiences.
  • Exposure to AI/LLM-based tools for data analysis, documentation, or workflow automation.

Responsibilities

  • Gather, clarify, and document data requirements from product teams and other stakeholders across the payments ecosystem.
  • Identify existing data sources, gaps, dependencies, and opportunities to improve data discoverability and usability within the assigned domain.
  • Translate business needs into product requirements, user stories, acceptance criteria, and workflow documentation.
  • Partner with product managers, engineering teams, data stakeholders, and business users to support backlog refinement, prioritization, and delivery.
  • Query the data warehouse to investigate data availability and identify duplicate, overlapping, or inconsistent data sources.
  • Triage incoming data requests by assessing intent, determining whether existing data can be repurposed, and scoping requests that require new development.
  • Work with stakeholders to define data elements, business terms, metrics, and reporting requirements.
  • Contribute to documentation, data catalogs, reporting materials, and self-service resources.
  • Support release readiness, user acceptance testing, stakeholder communications, and post-release activities.
  • Use AI-assisted tools to accelerate data discovery, duplicate detection, and metadata documentation within the assigned domain.

Benefits

  • Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service