Product Associate [Multiple Positions Available]

JPMorganChase•Columbus, OH

13d•Onsite

About The Position

The Product Associate partners with the Product Manager to identify product opportunities based on customer and market needs, using user research and discovery. The role considers how new features affect the broader product experience and supports user research, journey mapping, and market analysis to inform the product roadmap and identify valuable features. It analyzes and tracks product metrics, including time, cost, and quality targets across the product development life cycle, and writes requirements, epics, and user stories to support product development. The position supports internally consumed enterprise data or middleware platforms, coordinating platform development and end-to-end data processing across varied environments. It translates operational and technical needs into requirements and roadmaps, helps prioritize platform work, and supports product discovery, requirements refinement, testing coordination, and readiness. Success is measured by platform stability, data correctness, operational reliability, fewer production incidents, and end-to-end business readiness. The position is based at 1111 Polaris Parkway, Columbus, OH 43240. It is full-time and pays $115,300–$125,000 per year.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related field of study.
At least 5 years of experience in the job offered, as a Product Associate, Software Development Engineer, or in a related occupation.
At least 3 years of experience supporting enterprise data or middleware platforms, including defining requirements, prioritizing capabilities, and delivering internal platform enhancements used by technology teams.
Experience coordinating data flows and processing workflows across mainframe systems, distributed Linux environments, batch systems, and enterprise ETL tools.
Experience defining technical requirements related to system dependencies, data lineage, reconciliation, operational failure handling, batch sequencing, and data validation.
Experience querying with SQL and using Large Language Models for analysis, summarization, and insight generation.
Experience assisting with backlog prioritization and status tracking, such as epics, stories, or work sequencing.
Experience translating batch execution behavior, dependency management, performance tuning, operational reliability, and integration into requirements and roadmaps using enterprise ETL platforms such as Ab Initio.
Experience supporting hybrid cloud data environments, including AWS migration and integration for storage, processing, and governed access.
Experience coordinating intake assessment, discovery, risk identification, and regulatory and compliance readiness.
Experience documenting, prioritizing, and sequencing functional and non-functional requirements, and identifying and escalating risks and issues.
Experience supporting and owning internally consumed enterprise platforms, monitoring backlog health, and driving product development life cycle activities, including discovery, requirements refinement, and testing coordination such as UAT or Beta.

Responsibilities

Partner with the Product Manager to identify product opportunities reflecting customer and market needs through user research and discovery.
Consider and plan for upstream and downstream effects of new product features on the overall product experience.
Support user research, journey mapping, and market analysis to inform the strategic product roadmap and identify potential customer-valued features.
Analyze, track, and evaluate product metrics, including time, cost, and quality targets throughout the product development life cycle.
Write requirements, epics, and user stories to support product development.
Support enterprise data or middleware platforms by defining requirements, prioritizing capabilities, and delivering internal platform enhancements used by technology teams.
Coordinate end-to-end data flows and processing workflows across mainframe systems, distributed Linux environments, batch systems, and enterprise ETL tools.
Define technical requirements for system dependencies, data lineage, reconciliation, operational failure handling, batch sequencing, and data validation.
Use SQL and Large Language Models for analysis, summarization, and insight generation.
Assist with backlog prioritization and status tracking, including epics, stories, and work sequencing, to support reliable platform execution.
Translate batch execution behavior, dependency management, performance tuning, operational reliability, and integration into requirements and roadmaps using enterprise ETL platforms such as Ab Initio.
Support hybrid cloud data environments, including AWS migration and integration for storage, processing, and governed access.
Coordinate intake assessment, discovery, risk identification, and regulatory and compliance readiness.
Document, prioritize, and sequence functional and non-functional requirements, including performance, scalability, reliability, recoverability, and data integrity; identify and escalate risks and issues.
Support and own internally consumed enterprise platforms, monitor platform backlog health, and drive product development life cycle activities such as discovery, requirements refinement, and UAT or Beta testing coordination.
Measure platform success through stability, data correctness, operational reliability, minimization of production incidents, and end-to-end business readiness.