Product Manager [Multiple Positions Available]

JPMorgan Chase & Co.•Plano, TX

3d•Onsite

About The Position

JPMorgan Chase, a leading financial institution with a history spanning over 200 years, is seeking Product Managers to join their team. This role involves developing innovative financial solutions for millions of clients globally. The Product Manager will be responsible for gathering requirements, defining user stories, and collaborating with stakeholders to understand market trends and user needs. The position requires a deep understanding of the product development lifecycle, from concept to launch, and the ability to translate user needs into actionable strategies. The role also involves defining data elements, standardizing data models, and ensuring data quality across credit risk processes and applications. The Product Manager will work closely with product and technology teams to build core components and ensure the scalability and integration of technology architecture.

Requirements

Master's degree in Business Analytics, Project Management, Computer Science, or related field of study plus 3 years of experience in the job offered or as Product Manager, Risk Management, Business Intelligence Analyst, Data Scientist, IT Consultant, or related occupation.
Alternatively, a Bachelor's degree in Business Analytics, Project Management, Computer Science, or related field of study plus 5 years of experience in the job offered or as Product Manager, Risk Management, Business Intelligence Analyst, Data Scientist, IT Consultant, or related occupation.
Three (3) years of experience with overseeing the product development lifecycle from concept through launch, including discovery, ideation, strategic development, requirements definition, launch strategies, and product training using Jira, Confluence, and Lucidchart.
Three (3) years of experience with enhancing product development and decision-making processes using Figma and Lucidchart for design principles, and Python, SQL, Jira, and Confluence for data analytics.
Three (3) years of experience with analyzing user needs and translating them into actionable design and development strategies using Jira for task tracking, Confluence for documentation, and Jira Agile for breaking down user needs into stories and tasks.
Three (3) years of experience with conducting performance and QA testing using JMeter and QTEST.
Three (3) years of experience with managing releases and tracking deployment readiness using Jira Release Hub.
Three (3) years of experience with designing technology architecture and scalable systems to support product functionality and platform integration using Lucidchart, Visio, and AWS.
Three (3) years of experience with implementing cloud-based architecture using Confluence, Visio, Lucidchart, and Drawio.
Three (3) years of experience with implementing and testing APIs for system integration using Postman and Swagger.
Three (3) years of experience with aligning technical designs with user experience goals by integrating technology and UX design principles using Figma, UserTesting, Lucidchart, React, and SALT libraries.
Three (3) years of experience with analyzing datasets and querying databases to extract insights and provide actionable recommendations using SQL and MySQL.

Responsibilities

Gather requirements and write user stories and acceptance criteria.
Collaborate with subject matter experts and key stakeholders to understand use cases, pain points, and market trends.
Integrate usability studies, research, and market analysis into product requirements.
Develop user journeys and artifacts that communicate intuitive user experiences aligned with product needs.
Provide product demos and conduct review sessions with stakeholders, incorporating feedback into roadmaps.
Identify dependencies and issues, and present recommendations for resolution.
Collaborate with product and technology teams to build core components enabling product functionality.
Define data elements across credit risk processes and applications.
Standardize data models and operating models to ensure consistency across teams.
Analyze datasets for completeness and data quality issues.
Collaborate with multiple teams to source strategic data and eliminate process duplication.
Define schema for data assets and publish data lineage.