Product Manager, Payments Data & Analytics-Vice President

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

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.

As a Product Manager in the Payments- Chief Data & Analytics Office, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of data and analytics and how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.

Job 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

Required qualifications, capabilities, and skills

• 5+ years of experience or equivalent expertise in data or AI product management or relevant data and AI experience
• 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, etc.)

Preferred qualifications, capabilities, and skills

• Demonstrated prior experience working in a highly matrixed, complex organization
• Graduate education in data and analytics (or adjacent) field
• Experience developing AI agents and working with graph data models