We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Director of Software Engineering at JPMorgan Chase within Corporate Technology, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.
Job responsibilities
- Leads the delivery of Trade Surveillance solutions aligned with business goals and regulatory requirements
- Drives the platform modernization initiative, leveraging Data Mesh principles on Databricks to build scalable, resilient, and efficient big data platforms
- Provides hands-on technical leadership and guidance to engineering teams, ensuring engineering excellence, secure-by-design, and agile/DevOps best practices
- Manages multiple feature teams, acting as both a people supervisor and technical leader; hire, develop, mentor, and recognize talent across cross-functional teams
- Owns decisions on team resources, budgets, and tactical operations, including process execution and continuous optimization.
- Evaluates, selects, and integrates emerging technologies—including AI/ML solutions—to enhance surveillance coverage, accuracy, and efficiency.
- Leads and drives AI projects, fostering AI readiness and adoption with the global team.
- Builds and nurture a collaborative environment that encourages innovation and continuous improvement.
- Identifies and mitigate risks across data, models, security, and operations; ensure audit readiness and control compliance.
- Develops strong partnerships with product, compliance, and LOB Technology
- Drives transformation and modernization projects to achieve shared objectives.
Required qualifications, capabilities, and skills
- Solid track record and 10+ years of experience in building large-scale data warehouses, enterprise data platforms, and critical big data solutions.
- Proven experience in cloud implementation and practical cloud-native development with AWS, Azure, or GCP.
- Deep expertise in platform building, modernization, and transformation projects, including Data Mesh and Databricks.
- Familiarity with AI/ML technologies and experience leading or driving AI projects.
- Experience developing or leading cross-functional teams of technologists, including hiring, developing, and recognizing talent.
- Strong people management skills; ability to supervise, mentor, and grow engineering leaders and teams.
- Excellent communication, collaboration, and stakeholder management skills.
- Ability to drive innovation and foster a culture of continuous improvement.
- Experience managing multiple Scrum/feature teams and delivering complex projects in an agile environment.
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Preferred qualifications, capabilities, and skills
- Experience working at code level