Payments Data & Analytics Product Lead

JPMorgan Chase & Co.; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in New York is seeking a Product Manager for Payments - Chief Data & Analytics Office to lead data-driven product initiatives, act as voice of customer, and guide end-to-end life cycle from ideation to launch, aiming for scalable, resilient products that delight clients.

The role emphasizes collaboration with cross-functional teams, building data analytics solutions, and delivering measurable value through robust metrics, with a focus on AI-enabled products and mature data

Qualifications

• 5+ years of experience or equivalent in data or AI product management.
• Advanced knowledge of the product development life cycle, design, and data analytics.
• Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
• Experience driving change within organizations and managing stakeholders across multiple functions.
• Experience personally building data and analytics solutions (e.g., mature experience with big data platforms and coding tools, like Python, SQL).

Responsibilities

• Develops a product strategy and product vision that delivers value to customers
• Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
• Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
• Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability

Skills

Product management

Stakeholder management

Data analytics

AI product

Discovery & ideation

Education

Graduate degree in data analytics

Tools

Python

SQL

Job description

JPMorgan Chase & Co. in New York is seeking a Product Manager for Payments - Chief Data & Analytics Office to lead data-driven product initiatives, act as voice of customer, and guide end-to-end life cycle from ideation to launch, aiming for scalable, resilient products that delight clients.

The role emphasizes collaboration with cross-functional teams, building data analytics solutions, and delivering measurable value through robust metrics, with a focus on AI-enabled products and mature data