About the Role: 

We are looking for an Applied AI/ML Director to join our team to solve exciting business problems for JPMorgan’s Global Banking business. Candidates must have strong people management skills and a track record of successfully leading projects across multiple technology, business, and product teams. This is a unique opportunity to apply your skills and have a direct impact on a global business. 

As an Applied AI/ML Director, you’ll use your technical and people management expertise to drive our AI innovation. The ideal candidate should have deep knowledge of AI/ML techniques and technology and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and deliver business results. 

What You’ll Do:

Lead a local AI/ML team with accountability and engagement into a global organization. Hire, mentor, and grow your team. Embrace diversity and foster an inclusive team culture and growth mindset.  Set the technical vision, lay out and execute on a strategic roadmap to drive AI innovation.  Deliver AI/ML projects through our ML development life cycle with Agile methodology. Transform large ambiguous business requirements into management AI/ML specifications, define milestones and success criteria, and delivery them in a timely manner.  Collaborate with product and business teams to define goals and roadmaps. Achieve and maintain alignment with cross functional stakeholders.  Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, make trade-offs and balance business needs versus technical constraints. 

Basic Qualifications:

Advanced degree in Computer Science, Data Science, Information Systems, other equivalent disciplines or equivalent experience.  Minimum 6 years of experience managing AI/ML or software development teams as a people manager.  Minimum 10 years as a hands-on practitioner developing production software solutions using Agile methodology.  Deep knowledge and experience in machine learning and artificial intelligence. Can set teams up to focus and deliver speed and quality. Ability to design good metrics and hypotheses.  Strong people management and team building skills. Can coach and grow talent, foster healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team.  Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication skills, solid negotiation skills, and strong leadership.  Can evaluate and design effective processes and systems to facilitate communication, improve execution and ensure accountability.