The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly

As an AI Product Manager - Model Deployment - Executive Director within the Chief Data & Analytics Office (CDAO), you will have the unique opportunity to be a critical player in our firm-wide efforts in coordinating and building products that enable Data Scientists at the firm to deploy their AI models seamlessly. You will work closely with cross-functional teams including data scientists, engineers, and other stakeholders to deliver best-in-class products for the firm.

Job Responsibilities 

Define a strategic vision and roadmap for the product that includes milestones, deliverables, resources, and timelines  Build a streamlined experience for deployment of packaged machine learning models into Production Serving runtimes, with built-in policy enforcement to ensure governance and lineage across the model lifecycle 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  Drive the development of products for streamlining the passage of models through the Model Development Lifecycle, with the objective of reducing the time to market for a machine learning model

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  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 in tools such as MLFlow to facilitate authoritative training of AI/ML models  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