Description Drive innovation and solution delivery while leading a technical area and serving as a primary decision maker for your teams As a Director of Software Engineering at JPMorganChase specializing in Data Analytics & AI, you will serve as the Glasgow Technology Lead for Liquidity Risk Technology within Corporate Technology's Finance domain. This pivotal role offers the opportunity to drive innovation and solution delivery, impacting teams, technologies, and projects across departments. You will manage 2-3 feature teams, comprising approximately 30 talented individuals, to steer multiple complex projects and initiatives. You will work with petabytes of data and systems that generate billions of rows daily, driving insights and solutions that are critical to our business. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond conventional approaches to build innovative solutions. Leverage your expertise to manage and analyze petabytes of data, working with systems that create billions of rows daily to drive impactful insights and solutions. Lead and manage 2-3 feature teams, fostering collaboration and ensuring alignment with strategic goals. Influence team resources, budget, and tactical operations, ensuring the successful execution and implementation of processes and procedures. Oversee coding decisions, control obligations, and success metrics such as cost of ownership, maintainability, and portfolio operations. Deliver technical solutions that can be leveraged across multiple businesses and domains, with a focus on data analytics and AI. Engage with peer leaders and senior stakeholders across business, product, and technology teams to drive strategic initiatives. Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies. Foster a team culture of diversity, equity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Advanced experience leading technologists to solve complex technical challenges. Proven experience developing or leading cross-functional teams of technologists. Experience in hiring, developing, and recognizing talent. Experience in enterprise-scale application design, development, and operational stability. Practical experience with cloud-native technologies and platforms. Hands-on experience with Big Data and distributed computation systems (HDFS, Spark, Apache Flink, Databricks), and proficiency in AI technologies. Proficiency in Java, Python, Spring Boot, and cloud-native foundations. Proficiency with AWS services, including EMR and EKS.