Senior Product Associate, Data and Analytics-Payments

If you thrive at the intersection of enterprise payments, product development, and cross-functional delivery, and you want to shape how the world's largest corporate treasurers manage liquidity, forecast cash flows, and make real-time decisions, this role is for you.

As a Senior Associate Product Manager within J.P.

Morgan's Payments Data & Analytics, you will help build and evolve an analytics product that enables corporate treasury teams to access cash flows, produce AI-driven forecasts, and reduce the manual processes.

You will sit at the nerve center of a high-velocity agile team translating client needs into actionable engineering priorities, orchestrating delivery across backend and frontend engineers, data scientists, and designers across time zones.

Job responsibilities


* Own and manage the product backlog end-to-end: write well-formed user stories, define acceptance criteria, prioritize features using value/effort frameworks


* Coordinate daily stand-ups, sprint planning, backlog refinement, and retrospectives; drive agile ceremonies with discipline and pace across a distributed team


* Serve as the translation layer between client-facing colleagues and the engineering/data science teams


* Drive end-to-end feature testing: define test cases, coordinate UAT with stakeholders, document defects, and manage resolution before release


* Collaborate with UX/product designers on wireframes, prototypes, and usability reviews; represent the voice of the corporate treasurer in design decisions


* Track and report on product KPIs, e.g.

feature adoption, forecast accuracy improvement, client onboarding velocity, defect rates, and use data to drive prioritization decisions


* Monitor the competitive landscape and incorporate market intelligence (TMS/ERP providers, fintech challengers, peer bank offerings) into roadmap thinking

Required qualifications, capabilities & skills


* 3+ years of experience in product management for enterprise SaaS, fintech, or data/analytics platforms


* Demonstrated experience running agile delivery teams using Kanban and/or Scrum methodologies; hands-on proficiency with Jira for backlog management, sprint tracking, and reporting


* Proven ability to manage engineers - backend, frontend, or full-stack - across time zones, with strong command of engineering workflows, release management, and dependency mapping


* Experience ingesting, synthesizing, and operationalizing client/user feedback into clearly defined product requirements


* Strong collaboration track record with data scientists: ability to understand model inputs/outputs, define success metrics for ML features, and pressure-test model behavior with structured test cases


* Experience in end-to-end feature testing including writing test plans, coordinating UAT, managing defect lifecycles, and owning quality gates pre-release


* Strong written and verbal communication skills with the ability to produce t...