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 tight, executive-ready product briefs and equally able to whiteboard a data flow with engineers
- Bachelor's degree in a quantitative, technical, or business discipline Preferred qualifications, capabilities & skills
- Domain knowledge in treasury management, cash flow forecasting, payments, or liquidity management; familiarity with how corporate treasury teams operate (accounts payable/receivable cycles, multi-bank cash positioning, FX exposure management)
- Experience with or exposure to ERP and/or TMS platforms (SAP, Oracle, Kyriba, GTreasury, ION)
- Exposure to regulatory and compliance constraints that govern data products in banking (data residency, model risk management, client data usage policies)