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 whats possible.

As a Director of Software Engineeringat 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 technologiesincluding AI/ML solutionsto 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