The role
From JPMorgan Chase's own posting.
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