Elevate your career by spearheading transformative AI-driven customer service innovations at JPMorgan Chase, while collaborating with top-tier experts and enhancing millions of customer experiences.
As a Product Manager within Machine Learning & Intelligence Operations team, you will help drive the book of work for your product, coordinate the execution of the product roadmap, and embrace Agile methodology and best practices. You will interact with cross-functional teams comprising technologists, data scientists, researchers, designers, and analytics members to build high volume data pipelines with automated data quality checks and reporting. This role is part of the Area Product Team that focuses on Transcription & Conversational Insights. You will help facilitate the team’s priorities to maximize the value of the product and the work of the modeling and development teams.
This role will focus on data modernization and quality efforts in support of the formation of a data product for the bank. The MLIO team is dedicated to developing innovative solutions using AI, machine learning, and a design-thinking approach to significantly enhance both customer and employee experiences.
Job Responsibilities:
Lead the product strategy, roadmap, prioritization, and backlog for the machine learning application for Data Modernization & Quality. Partner with data analytics personnel across the bank to consolidate requirements for the data product needed as part of Transcription & Conversational Insights. Lead 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. Help maximize 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. Drive continuous improvement in data processes and methodologies Stay abreast of industry trends and advancements in machine learning and data architecture Refine strategies and solutions to enhance self-service usage and reduce customer contact volume. Collaborate with Controls/Risk, Audit, Compliance, Data & Model Governance, and Technology to ensure readiness to deliver on the product roadmap.
Required qualifications, capabilities and skills:
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