Product Associate

JPMorgan Chase & Co.; Greater London; On-site; GBP 55,000 - 85,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an EX Map Data & Product Operations Associate to own repeatable operational processes for the Employee Experience Map.

You will coordinate data sourcing, transformation, mapping, validation, testing, and release readiness, while building controls and documentation for scalable, data-driven decision making. Your work will enable better decisions, reduce friction across the firm, and anchor product choices in employee-experience data.

Qualifications

• Experience in data operations or product operations
• Ability to source, reconcile, transform, and validate data
• Advanced spreadsheet and data manipulation
• Experience with UAT and regression testing
• Translate product requirements into data requirements
• Strong documentation and control processes

Responsibilities

• Coordinate data sourcing with clear intake requirements for each source
• Maintain a source inventory and data dictionary
• Create monthly mapping files with auditable logs
• Partner with technology and data teams to automate data connections
• Define data quality checks for completeness, accuracy, timeliness
• Develop data-focused test cases for releases and refreshes
• Lead AI-related reviews and human-in-the-loop processes
• Own and improve the EX Map data operating model
• Maintain SOPs for data processes and updates
• Support launch readiness and post-launch stabilization

Skills

Data operations

Product operations

Data sourcing

Advanced spreadsheets

SOP development

Data validation

Analytical thinking

Tools

Adobe Analytics

Qualtrics

Alteryx

Job description

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