Director of Software Engineering

If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you.

As a Senior Director of Software Engineering at JPMorganChase within Consumer & Community Banking, you lead multiple technical areas supporting our AI/ML platform, manage the activities of multiple teams, and collaborate across technical domains.

Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods, deliver innovative AI/ML capabilities at scale, and help the firm remain at the forefront of industry trends, best practices, and technological advances.

Job responsibilities


* Leads the design and development of our AI/ML platform, ensuring robustness, scalability, security, and high performance


* Manages and grows teams of talented engineers and AI specialists, fostering a culture of innovation and continuous improvement


* Collaborates with product management and cross-functional teams to define product vision, roadmaps, and deliverables for AI-driven features and capabilities


* Drives the adoption of best practices in software engineering, machine learning operations (MLOps), and data governance


* Sets direction and governance for agentic AI-enabled engineering and automation, including appropriate guardrails for validation, security, resiliency, traceability, and reuse across teams


* Stays abreast of emerging trends and technologies in artificial intelligence and machine learning and assesses their applicability to business goals


* Ensures compliance with data privacy, security, and responsible AI requirements applicable to AI/ML solutions


* Oversees the end-to-end lifecycle of AI/ML projects, from ideation and development through deployment, operation, and maintenance


* Communicates complex technical concepts and solutions effectively to senior stakeholders across business, product, and technology


* Manages budgets and resources efficiently and reports progress, risks, and challenges to executive leadership

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 10+ years of applied experience; in addition, 5+ years of experience leading technologists to manage, anticipate, and solve complex technical challenges


* Advanced knowledge of software engineering, artificial intelligence and machine learning, machine learning operations (MLOps), and data governance


* Experience developing or leading large, cross-functional teams of technologists


* Demonstrated experience influencing highly matrixed, complex organizations and delivering value at scale


* Experience leading complex projects supporting system design, testing, deployment, and operational stability


* Experience with hiring, developing, and recognizing talent


* Experience leading the adoption of agentic AI-enabled engineering practices across teams, including definin...