Payments-Digital & Design-Product Associate

As a Product Associate in JPMorgan Access, you play a crucial role in supporting the product development process and contributing to the discovery of innovative solutions that address customer needs. Working closely with the product management team and cross-functional partners, you contribute your skills and insights to help ensure the success of our product offerings. As a valued member of the team, you have the opportunity to learn and grow in a dynamic and fast-paced environment, making a tangible impact on our products and customer experiences.

Job responsibilities

• Supports the development of our product strategy and roadmap
• Collects and analyzes metrics on product performance to inform decision-making
• Contributes to solution discovery through collaboration with cross-functional teams to identify potential solutions that address user needs and align with business goals 
• Participates in product planning sessions, contributes ideas and insights, and assists in the execution of product initiatives, ensuring timely and successful product launches
• Collaborates with the product manager to engage stakeholders and define user workflows, requirements, stories, and customer value

• Assist in maintaining backlog and facilitating discussions as needed across stakeholders to address issues and clarify requirements 

• Ensure product launch activities are planned and executed per rollout strategy 

• Create, maintain and publish product metrics and reporting

• Execute and manage model annotations process to ensure compliance with AI governance policy

• Support model evaluations-translate eval results into product actions and track improvements against targeted outcomes

• Assist with AI governance activities as needed 

 

Required qualifications, capabilities, and skills

• 2+ years of experience or equivalent expertise in product management, project management, or a relevant domain area
• Developing knowledge level of the product development life cycle
• Exposure to product life cycle activities including discovery and requirements definition
• Emerging knowledge of data analytics and data literacy
• Strong problem solver with structured approach to ambiguity- able to break down complex issues into testable hypotheses, identify root cause and drive pragmatic outcome-oriented decisions 
• Proficient in analyzing data and performance metrics to inform continuous product improvement 
• Familiarity with AI for search and chatbots, including foundational knowledge of LLMS, machine learning concepts, retrieval/search relevance and practical evaluation approaches 

 

Preferred qualifications, capabilities, and skills

• Demonstrated prior experience working in a high matrixed, complex organization