Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Product Associate - Merchant Service Data Platform - Payments
Palo Alto, CA, United States
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingGather and document data requirements from product and business stakeholders
Query the data warehouse to confirm data exists and find duplicate or inconsistent sources
Triage data requests and decide what existing data can be reused versus newly built
Translate business needs into requirements, user stories, and acceptance criteria
Contribute to data catalogs, metric definitions, and self-service documentation
From the employer’s posting
Gather, clarify, and document data requirements from product teams and other stakeholders
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
Translate business needs into clear product requirements, user stories, acceptance criteria, and workflow documentation
Contribute to documentation, data catalogs, reporting materials, and self-service resources
Education & alternatives
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
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
JPMorgan Chase is hiring
413 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- Snowflake
Where the posting names them
- 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
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
- 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
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
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- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
Source details
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- Pay
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- Location & working pattern
Palo Alto, CA, United States
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- Work authorization
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