JPMorgan AI Product Manager - Time Series Executive Director 

United States, New York, New York 

854918069

As an AI Product Manager - Time Series - Executive Director within the Time Series Data team, you will have the unique opportunity to be a critical player in our firm-wide efforts in coordinating and building products that creates a seamless experience for Data Scientists at the firm to develop AI models. This includes integration of the platform with existing data sources, AI frameworks, and deployment environments, while optimizing computability and performance.

Job Responsibilities

• Define a strategic vision and roadmap for a time series data based AI/ML capabilities, including milestones, deliverables, resources, and timelines
• Work with stakeholders across the various businesses (Investment Bank, Consumer Bank, etc.) and functional groups (Legal, Technology, Controls) to collect business requirements, create PRDs, and ship high quality products that solve business needs
• Execute the vision and design of dedicated AI/ML platforms in a multi-cloud landscape
• Build platforms and products that would manage the end-to-end development lifecycle of AI models for Data Scientists and Engineers
• Collaborate with adjacent teams to ensure a seamless fusion between MLOps and ModelOps to enable automated controls, policy compliance tooling, and data across MDLC (Model development lifecycle)

Required qualifications, capabilities and skills

• 10+ years of experience in product management with proven ability to lead and develop high performing product teams
• Proven delivery of enterprise scale products
• Familiarity on how time series data can be used by data scientists for Training & Experimentation purposes
• Excellent leadership and collaboration skills, with the ability to positively influence and inspire technology teams and stakeholders
• Strong agile mindset, able to iterate fast and give early feedback
• Strong track record of owning and developing a product domain strategy and roadmap
• Able to balance short-term goals and long-term vision in highly complex environments
• Expertise on the AI lifecycle, spanning from data discovery, data processing, model development, model deployment, and model monitoring
• Expertise in Cloud computing and architecture

Preferred qualifications, capabilities, and skills

• Experience in Financial Services or other highly regulated industries
• Experience with AI frameworks and libraries