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JPMorgan Product Associate Machine Learning Data Modernization Quality 
United States, Delaware, Wilmington 
368560463

31.12.2024
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
  • Partner with data analytics personnel across the bank to consolidate requirements for the data product needed as part of Transcription & Conversational Insights and collaborate with Controls/Risk, Audit, Compliance, Data & Model Governance, and Technology to ensure readiness to deliver on the product roadmap
  • Coordinate activities of the agile product teams that include research, design, data scientists, machine learning engineers, and data analytics members
  • Manage existing product features and collaborate on the research, definition, and development of new features to advance the product roadmap and performance
  • Assist in maximizing product value delivered through backlog creation, management, and prioritization of epics and user stories
  • Partner with user research and business/operations teams to analyze and ideate customer experience, behavior, and improvement opportunities
  • Refine strategies and solutions to enhance self-service usage and reduce customer contact volume
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
  • Experience in Technical Product Management, ideally with AI/ML-related products.
  • Familiarity with multi-disciplinary teams in a large, matrixed organization and fast-paced agile development environment.
  • Demonstrated ability to contribute to strategic decisions while vocally participating in team activities and adding value on execution activities.
  • Technical acumen: ability to grasp and help manage complex relationships with internal technology partners.
  • Ability to effectively leverage the power of analytics and customer insights for robust outputs.
  • Strong communicator with the ability to fluidly interact with leaders, stakeholders, employees, and third-party vendors.
Preferred qualifications, capabilities, and skills
  • Experience working with SQL or NoSQL databases
  • Familiarity with Kafka, Kinesis, or other data pipelines
  • Prior experience working on a product team that uses Amazon Web Services (AWS)
  • Knowledgeable of Snowflake or other data warehousing platforms