Product Associate — Merchant Service Data Platform

JPMorganChase•Palo Alto, CA

About The Position

The Product Associate on the Merchant Services Data Platform team helps connect Merchant Services product teams with the data that supports their work. The team drives the vision, strategy, and execution of a scalable, secure, high-performance data platform that enables internal and external clients to access, analyze, and operationalize data through APIs, self-service tools, and managed services. The platform supports analytics and reporting needs across the payments ecosystem. The role involves uncovering available data, identifying gaps, and helping shape a trusted single source of truth. Working hands-on with Snowflake, the Product Associate helps teams discover and use the data they need and contributes to improving how data is discovered, trusted, and used across the organization.

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 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 whether data exists and identify duplicate, overlapping, or inconsistent 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.