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Senior Product Associate, Data and Analytics-Payments

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 15 days ago

No clicks

**Senior Product Associate, Data and Analytics-Payments** drives enterprise payment innovation, focusing on cash flow analysis and predictive models. Responsibilities include managing backlogs, orchestrating cross-functional teams, and owning end-to-end feature testing. Key skills: agile methodologies, Jira proficiency, product development, data analysis, and stakeholder communication. Seeking 3+ years in SaaS or fintech product management, with experience in treasury management or related domains.

Compensation
Not specified

Currency: Not specified

City
New York City
Country
United States

Full Job Description

Location: New York, NY, United States

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)
You are passionate about product management with an edge in data and analytics! You have found your new role!

Senior Product Associate, Data and Analytics-Payments

Compensation

Not specified

City: New York City

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

15 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Senior Product Associate, Data and Analytics-Payments** drives enterprise payment innovation, focusing on cash flow analysis and predictive models. Responsibilities include managing backlogs, orchestrating cross-functional teams, and owning end-to-end feature testing. Key skills: agile methodologies, Jira proficiency, product development, data analysis, and stakeholder communication. Seeking 3+ years in SaaS or fintech product management, with experience in treasury management or related domains.

Full Job Description

Location: New York, NY, United States

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)
You are passionate about product management with an edge in data and analytics! You have found your new role!