Location: New York, NY, United States

Join JPMorgan Chase as a Senior Manager where you will mentor and advise multiple technical teams and move financial technologies forward. In this role you will be challenged and make a big impact. 

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

 As a Senior Manager of Software Engineering at JPMorgan Chase within the AIML Data Platforms - Chief Data & Analytics (CDAO)Team, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Job responsibilities

•  Provides technical leadership and strategic direction for AI/ML engineering teams developing enterprise AI solutions
• Drives the architecture and implementation of scalable machine learning platforms and data pipelines
• Ensures successful delivery of AI products leveraging generative AI, NLP, and other ML technologies
• Identifies and prioritizes AI/ML initiatives aligned with business objectives and industry trends
• Provides input on technology roadmaps, build-vs-buy decisions, and ML infrastructure investments
• Creates a culture of innovation, experimentation, and continuous learning in AI/ML practices

 Required qualifications, capabilities, and skills

•  Formal training in software engineering, data science, or related field with 5+ years experience, including 2+ years leading AI/ML engineering teams
• Experience leading teams building production AI/ML systems at scale
• Proficiency in Java for both client-side and server-side application development
• Proficiency in HTML, CSS, and modern front-end web technologies
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices
• In-depth knowledge of the financial services industry and AI/ML applications in enterprise contexts
• Strong ability to communicate complex AI/ML concepts to technical and business stakeholders

Preferred qualifications, capabilities, and skills

•  Experience working at code level
• Experience with Agile transformation initiatives
• Track record of building and scaling engineering teams
• Experience with cloud architecture and migration strategies