JPMorgan Chase's Commercial & Investment Bank is seeking an Applied AI ML Lead - Data Scientist to join their Global Banking team. This role offers a unique opportunity to apply technical expertise and leadership abilities to support AI innovation across the organization. The position combines deep technical knowledge of AI/ML with leadership responsibilities to inspire teams, align stakeholders, and drive business results.
As a Vice President in this role, you'll lead and mentor a local AI/ML team while maintaining engagement with the global organization. You'll be responsible for setting technical vision, executing strategic roadmaps, and delivering AI/ML projects through the complete development lifecycle using Agile methodology. The role requires collaboration with product and business teams to define goals and maintain alignment with cross-functional stakeholders.
The ideal candidate brings 14+ years of experience (or equivalent with advanced degrees) in Computer Science, Data Science, or related fields, with a proven track record in managing AI/ML teams. You should have hands-on experience developing production AI/ML solutions and expertise in areas like Natural Language Processing, Knowledge Graph, Computer Vision, or Speech Recognition. Strong programming skills in Python and Spark, along with familiarity with AWS Cloud services, are essential.
This position offers the opportunity to work with one of the world's leading financial institutions, contributing to impactful global business initiatives while leading innovation in AI/ML applications. You'll be part of JPMorgan Chase's Commercial & Investment Bank, a global leader across banking, markets, securities services and payments, serving corporations, governments and institutions worldwide.
The role combines technical leadership with people management, requiring strong communication skills and the ability to build diverse, inclusive, and high-performing teams. You'll have the opportunity to contribute to the firm's Machine Learning community through patenting, publications, and speaking engagements while helping shape the future of AI applications in financial services.