Are you ready to lead groundbreaking AI projects that transform the way we work? Join our elite Applied Innovation of AI (AI2) team at JP Morgan Chase, where your expertise will drive impactful machine learning solutions. We offer unparalleled opportunities for career growth in a collaborative environment, where your skills and passion will make a significant impact on our business and beyond.

As a Vice President Analytics Solutions Manager within the Applied Innovation of AI team, you will lead the planning, scheduling, and management of AI projects focused on Software, Cybersecurity, and Technology Infrastructure. You will work closely with stakeholders to execute projects that enhance operational processes and reduce costs. In this role, you will leverage your technical understanding of software development and AI principles to drive success and innovation.

You will collaborate with engineering, data science, and business teams to deliver high-impact solutions. This role offers the opportunity to mentor junior staff, work with cutting-edge technology, and contribute to the advancement of AI across the firm.

Job responsibilities

Brainstorm solutions and delivery schedules with engineering, data scientists, and business stakeholders Review and validate project proposals, guiding them through a well-defined intake process Plan AI projects and schedule tasks for team members Execute each project phase, ensuring alignment with goals and timelines Manage project budgets and communicate effectively with all stakeholders Collaborate with department heads to achieve common goals Mentor and develop junior staff within the team

 

Required qualifications, capabilities, and skills

Proven project management experience in building applications from conception to launch Basic understanding of AI and machine learning concepts through experience or coursework Leadership skills with the ability to manage multiple projects independently Experience working with engineers and data scientists to build products Familiarity with the end-to-end software engineering development lifecycle Excellent verbal and written communication skills Confidence in decision-making under tight timing and pressure Detail-oriented, curious, patient, 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; Scrum Master certification is a plus Prior experience as an AI or machine learning Project Manager Experience with cloud technology Familiarity with the data science model development lifecycle (data preparation, model training, etc.)