Director of Software Engineering - Big Data and Cloud Platforms

Director of Software Engineering - Big Data, Cloud

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

Experience Level

Executive Level