MLCOE's work spans across all of J.P. Morgan’s lines of business including Investment Banking, Asset Management and Consumer Banking, through every part of the organization from front office, operations, technology, finance and more. With this unparalleled access to the firm, the role offers a unique opportunity to lead teams in solving novel and complex challenges that could profoundly transform how the bank operates.

As a Vice President, you will participate in sophisticated machine learning projects to deploy a wide variety of complex applications that include data analytics, natural language processing, speech analytics, and many more. You must excel in working in a highly collaborative environment together with the business, technologists, data scientists, and control partners to deploy solutions into production. You must be patient, energetic, highly organized, and excel at conflict resolution. You should also be equally as comfortable talking to engineers as stakeholders

Job Responsibilities

Work on some of the most complex problems imaginable at the intersection of two dynamic industries: Finance and Artificial Intelligence Collaborate with software engineers, data scientists, product managers, production support, and Business stakeholders to develop and deliver products that can change the way our clients operate, how we service our clients, and how Banking is done today Partner with other high-performing teams within JPMC to inspire innovation and champion change throughout the bank

Required Qualification, capabilities and skills:

Atleast 7 years of Project Management experience building applications from conceptualization to launch Basic understanding of AI/ML concepts through experience or coursework Experience with working with engineers and data scientists towards building products is a must-have Experience with the end-to-end software engineering development lifecycle Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems.  Ability to work both independently and in highly collaborative team environments

Preferred qualifications, capabilities and skills:

Experience with JIRA, MS Office suite, and various request ticketing systems Experience with agile methodology (running scrums, sprint planning, etc). Scrum Master certification a plus Prior experience as an AI/ML Project Manager and having GenAI experience is a plus Familiarity with data science model development lifecycle (data preparation, model training, etc.)