Product Associate

Join a team that is redefining how JPMorganChase understands and improves the employee experience. As part of a forward-thinking product organization, you will have the opportunity to work at the intersection of data, product, and operations — contributing to a product that directly influences how millions of employees interact with the tools and processes that shape their day-to-day work. This is a role where your attention to detail, operational discipline, and analytical mindset will have a visible and lasting impact.
As an EX Map Data & Product Operations Associate at JPMorganChase within the Employee Experience Product team, you will own the repeatable operational processes that keep the Employee Experience Map — a data-driven, interactive product — accurate, complete, timely, and ready for use. You will coordinate data sourcing, transformation, mapping, validation, testing, and release readiness, while building the controls, documentation, and service-management practices needed to operate the product sustainably at scale. Your work will directly enable better decision-making, reduce friction for employees across the firm, and anchor product, process, and technology decisions in real employee experience data.
Job responsibilities
Coordinate the sourcing of tactical datasets by establishing clear intake requirements for each source, including expected format, granularity, ownership, frequency, completeness, and delivery status
Maintain a source inventory and data dictionary for all supporting files, ensuring documentation remains current and accessible to stakeholders
Create and maintain monthly mapping files, including an auditable log of additions, removals, mapping changes, overrides, source changes, and transformation decisions
Partner with technology and data teams to evolve spreadsheet-based processes toward strategic, sustainable data connections that reduce manual effort and increase reliability
Define and execute data-quality checks covering completeness, accuracy, consistency, timeliness, and validity to ensure data is fit for product use
Develop, maintain, and execute data-focused test cases for new releases, monthly refreshes, and changes to transformation logic, supporting end-to-end release readiness
Identify operational processes where AI could reduce manual effort or increase consistency, and lead human-review and quality-assurance processes for AI-generated outputs
Own and continuously improve the EX Map data operating model, including recurring calendars, checklists, hand-offs, approvals, escalation routes, and service expectations
Maintain standard operating procedures for data sourcing, transformation, mapping, testing, and release hand-off, updating documentation whenever files or workflows change
Support launch and post-launch readiness activities, including feedback capture, early-life support, issue triage, and operational stabilization
Required qualifications, capabilities, and skills
Strong experience in data operations, product operations, business operations, or a comparable data and product-focused role
Demonstrated ability to source, reconcile, transform, and validate data from multiple systems and data owners
Advanced spreadsheet and data manipulation capability, with strong attention to mapping logic, formats, thresholds, exceptions, and auditability
Experience creating and operating repeatable standard operating procedures, controls, checklists, and quality-assurance processes
Practical experience with user acceptance testing, regression testing, test-case preparation, defect management, and release readiness
Ability to translate product requirements and user needs into clear operational and data requirements
Strong analytical problem-solving skills, particularly when investigating data-quality issues or discrepancies between source, transformed, and displayed data
Ability to manage multiple dependencies and coordinate across product, technology, analytics, research, and data-owner teams
Strong written communication and documentation skills, with the ability to produce clear, structured, and audience-appropriate materials
Preferred qualifications, capabilities, and skills
Experience with analytics and feedback platforms such as Adobe Analytics and Qualtrics
Familiarity with workflow or data transformation tools such as Alteryx
Experience with backlog management tools and working within technology delivery teams using agile methodologies
Familiarity with AI controls, human-in-the-loop review processes, evaluation datasets, and output-quality monitoring