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Executive Director, Applied AI/ML

JPMorgan Chase
Palo Alto, CA Full Time
POSTED ON 12/11/2024
AVAILABLE BEFORE 2/10/2025

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. 

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