JP Morgan Chase

Runs a consumer bank and an investment bank

Product Associate - Merchant Service Data Platform, Payments

Technical Product ManagementPosted on Nov 3

Full-timePalo Alto, CA, USA$88.3k - $130kIn-person

About the Job

Requirements

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

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 clear 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 directly to investigate data existence and identify duplicate, overlapping, or inconsistent data sources.
Triage incoming data requests by assessing intent, determining what existing data can be repurposed, and scoping what requires 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.
Leverage AI-assisted tools to accelerate data discovery, duplicate detection, and metadata documentation across the assigned domain.

Desired Qualifications

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.

As a Merchant Services Data Platform team, we drive the vision, strategy, and execution for a scalable, secure, and high-performance data platform—enabling internal and external clients to access, analyze, and operationalize data through robust APIs, self-service tools, and managed services, supporting diverse analytics and reporting needs across the payment’s ecosystem.

As a Product Associate on the Data Platform team, you are the vital link between our Merchant Services product teams and the data that powers them. You bring curiosity, execution, and sharp analytical instincts to uncover what data exists, identify gaps, and help shape a single source of truth—turning scattered data into a trusted foundation the business can rely on. Working hands-on with Snowflake, you will help teams find the data they need, when they need it, while contributing to the evolution of how data is discovered, trusted, and used across the organization.

Job responsibilities

Gather, clarify, and document data requirements from product teams and other stakeholders across the payment’s ecosystem
Identify existing data sources, gaps, dependencies, and opportunities to improve data discoverability and usability within your assigned domain
Translate business needs into clear 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
Directly query data warehouse to investigate data existence, identifying duplicate, overlapping, or inconsistent data sources
Triage incoming data requests: assess intent, determine what existing data can be repurposed, and scope what requires new build
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
leverage AI-assisted tools to accelerate data discovery, duplicate detection, and metadata documentation across your assigned domain

Required qualifications, capabilities, and skills

Bachelor's degree required in business, computer science, data analytics, engineering, economics, or a related discipline
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, with 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 (e.g., for data discovery, summarization, or documentation) in day-to-day work
Experience with Snowflake or a similar modern cloud data platform

Preferred qualifications, capabilities, and skills

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

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.

Base Pay/Salary: Palo Alto,CA $88,350.00-$130,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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