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 - Infrastructure - Vice President within the Infrastructure team, you will have the unique opportunity to be a critical player in our firm-wide efforts to drive the adoption and governance of AI across the firm. You will drive the product strategy, progression through the product development lifecycle, and partnership with technology partners necessary to deliver best-in-class products for the firm.   

Job Responsibilities 

Deliver and own the strategic vision and roadmap for infrastructure requirements for AI/ML, Data and Analytics including Identity, Entitlement and Access Management interconnecting JPMC infrastructure, multiple SaaS based vendors and Public Cloud providers Work with stakeholders across the various businesses (Investment Bank, Consumer Bank, etc.) to collect business requirements, create PRDs and ship high quality infrastructure capabilities partnering with our Infrastructure Platforms and Cyber Security organizations Seek and provide mentorship, coaching, and professional development opportunities from/to team members to foster a culture of innovation and excellence Identify opportunities to build integrations that will improve the engineering experience of our business teams and enable the organization to move more quickly Challenge existing processes and implementations, looking at ways to refine and simplify

Required qualifications, capabilities and skills 

6+ years of experience in product management with proven ability to lead and develop high performing product teams Expertise in one or more of the following: Identity brokering and systems based entitlements (RBAC and ABAC) with associated governance and approval workflows. Authentication and authorization protocols (OIDC, OAuth etc) Data handling, data migration, and data storage Tagging and metadata capture  Building out large control planes which manage infrastructure for large multi-tenant SaaS based platforms Infrastructure as Code provisioning tools such as Terraform Excellent leadership and collaboration skills, with the ability to positively influence and inspire technology teams and stakeholders Knowledge in the AI lifecycle, spanning from data discovery, data processing, model development, model deployment, and model monitoring Expertise in API driven architecture and in-depth understanding of at least one public cloud is critical (AWS, Azure, or GCP)

Preferred qualifications, capabilities, and skills 

Experience in Financial Services or other highly regulated industries