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Product Manager, AI Payments Pricing-Vice President

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 2 days ago

No clicks

**Product Manager, AI Payments Pricing - Vice President** Manage AI-driven pricing products, boosting revenue capture and quality. Define product vision, collaborate with multi-functional teams, and apply data insights to improve payments experience. Proven product management experience (5+ years), strong data analytics expertise, and financial services background preferred. Key skills: AI, data analytics, stakeholder collaboration, metrics-driven decision-making.

Compensation
Not specified

Currency: Not specified

City
New York City
Country
United States

Full Job Description

Location: New York, NY, United States

Own AI payments pricing products that improve pricing quality, governance, and revenue capture through data-driven insights.

 

Build the next generation of intelligent payments pricing using artificial intelligence (AI) and data-driven insights to deliver better outcomes for clients. Youll own critical components of the product vision and roadmap, shaping direction from discovery through delivery at enterprise scale. Youll partner across business, data, and engineering to maximize revenue capture, improve speed and efficiency, strengthen pricing quality and governance, and protect realized value. Youll use metrics and stakeholder insights to prioritize what matters most and deliver measurable impact. If you enjoy turning complex pricing and analytics problems into clear product decisions, this role is for you.

 

As a Product Manager on the AI Pricing and Strategy team within Global Payments, you will own key components of the product vision and roadmap, setting direction from discovery through delivery to improve how pricing decisions are informed, governed, and executed. You will work hands-on with partners across business, data, and engineering to apply AI and analytics to pricing workflows and to balance time, cost, and quality outcomes across the product life cycle.

 

Job responsibilities

  • Partner in developing strategy to safely deploy AI within core payments businesses
  • Apply data-driven problem solving to shape product roadmaps and deliver impactful solutions
  • Identify opportunities where data and AI can improve the payments pricing experience for clients
  • Research industry trends across payments, AI models and tools, and product delivery best practices
  • Analyze, track, and evaluate product metrics while balancing time, cost, and quality targets
  • Collaborate with engineering to define product requirements, epics, and user stories
  • Build strong stakeholder relationships that drive alignment and clarity on product direction and analytics strategy

 

Required qualifications, capabilities and skills

  • 5+ years of experience (or equivalent expertise) in product management or a relevant domain area
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Demonstrated ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Strong understanding of analytics methodologies and technologies
  • Demonstrated data-driven problem-solving skills
  • Strong communication and collaboration skills to drive stakeholder alignment and team execution
  • Proven ability to work independently, take ownership of deliverables, and deliver high-quality results

 

Preferred qualifications, capabilities and skills

  • Masters degree in data science, mathematics, business, or a related technical field
  • Experience working within a highly matrixed, complex organization
  • Proficiency in SQL, Python, or R
  • Experience with analytics and business intelligence tools (for example, Tableau, Power BI, or similar)
  • Experience in financial services with understanding of industry challenges and opportunities
You leverage artificial intelligence and data-driven insights to turn complex pricing into product decisions.

Product Manager, AI Payments Pricing-Vice President

Compensation

Not specified

City: New York City

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

2 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Product Manager, AI Payments Pricing - Vice President** Manage AI-driven pricing products, boosting revenue capture and quality. Define product vision, collaborate with multi-functional teams, and apply data insights to improve payments experience. Proven product management experience (5+ years), strong data analytics expertise, and financial services background preferred. Key skills: AI, data analytics, stakeholder collaboration, metrics-driven decision-making.

Full Job Description

Location: New York, NY, United States

Own AI payments pricing products that improve pricing quality, governance, and revenue capture through data-driven insights.

 

Build the next generation of intelligent payments pricing using artificial intelligence (AI) and data-driven insights to deliver better outcomes for clients. Youll own critical components of the product vision and roadmap, shaping direction from discovery through delivery at enterprise scale. Youll partner across business, data, and engineering to maximize revenue capture, improve speed and efficiency, strengthen pricing quality and governance, and protect realized value. Youll use metrics and stakeholder insights to prioritize what matters most and deliver measurable impact. If you enjoy turning complex pricing and analytics problems into clear product decisions, this role is for you.

 

As a Product Manager on the AI Pricing and Strategy team within Global Payments, you will own key components of the product vision and roadmap, setting direction from discovery through delivery to improve how pricing decisions are informed, governed, and executed. You will work hands-on with partners across business, data, and engineering to apply AI and analytics to pricing workflows and to balance time, cost, and quality outcomes across the product life cycle.

 

Job responsibilities

  • Partner in developing strategy to safely deploy AI within core payments businesses
  • Apply data-driven problem solving to shape product roadmaps and deliver impactful solutions
  • Identify opportunities where data and AI can improve the payments pricing experience for clients
  • Research industry trends across payments, AI models and tools, and product delivery best practices
  • Analyze, track, and evaluate product metrics while balancing time, cost, and quality targets
  • Collaborate with engineering to define product requirements, epics, and user stories
  • Build strong stakeholder relationships that drive alignment and clarity on product direction and analytics strategy

 

Required qualifications, capabilities and skills

  • 5+ years of experience (or equivalent expertise) in product management or a relevant domain area
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Demonstrated ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Strong understanding of analytics methodologies and technologies
  • Demonstrated data-driven problem-solving skills
  • Strong communication and collaboration skills to drive stakeholder alignment and team execution
  • Proven ability to work independently, take ownership of deliverables, and deliver high-quality results

 

Preferred qualifications, capabilities and skills

  • Masters degree in data science, mathematics, business, or a related technical field
  • Experience working within a highly matrixed, complex organization
  • Proficiency in SQL, Python, or R
  • Experience with analytics and business intelligence tools (for example, Tableau, Power BI, or similar)
  • Experience in financial services with understanding of industry challenges and opportunities
You leverage artificial intelligence and data-driven insights to turn complex pricing into product decisions.