What are the responsibilities and job description for the Product Associate, Machine Learning, Data Modernization and Quality position at JPMorgan Chase?
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 Machine Learning & Intelligent Operations (MLIO), 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
- 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
