Join our collaborative environment, where you'll contribute to our strategy and make an impact on product success. Grow your skills, participate in product planning, and define user workflows while working alongside experienced product managers. Don't miss this opportunity to be part of a dynamic team and promote innovation in customer experiences.

As a Product Associate in JP Morgan 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

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

Preferred qualifications, capabilities, and skills

• Experience working in a highly matrixed , complex organization

• An understanding of corporate cash & liquidity management processes

• Experience working on machine learning or other artificial intelligence-based solutions