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As a Senior Lead Software Engineer in Data Platforms within the Chief Data and Analytics Office, you will lead a squad of engineers focused on enhancing the firmwide data catalogue system, Fusion. You will help teams across the globe access data efficiently, applying your technical expertise and engineering mindset to deliver secure, scalable solutions. You’ll be second in command within a wider team of 40, taking a high degree of ownership and responsibility. Your role will foster innovation, collaboration, and continuous improvement, positioning you for advancement to Executive Director.
Job responsibilities
Lead a squad of engineers, providing technical guidance and fostering a collaborative team environment
Drive the development and enhancement of the firmwide data catalogue system (Fusion) to enable global data access
Apply strong problem-solving skills and an engineering firm mindset to deliver secure, high-quality solutions
Take ownership of technical decisions, influencing product design and application functionality
Serve as a subject matter expert in data platforms and related technologies
Advocate for and implement firmwide frameworks, tools, and practices within the Software Development Life Cycle
Promote adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed
Encourage diversity, inclusion, and respect within the team culture
Apply knowledge of automation tools and AI-assisted development capabilities to maximize value at scale
Collaborate with stakeholders to deliver solutions aligned to business needs
Support operational stability and continuous improvement across the platform
Required qualifications, capabilities, and skills
Experience leading technical teams and managing stakeholders to deliver high-quality solutions
Hands-on expertise in system design, application development, testing, and operational stability
Advanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.)
Ability to tackle design and functionality challenges independently
Demonstrated experience with enterprise-authorized AI-assisted software development tools
Strong understanding of responsible AI use, including data sensitivity and secure handling
An Understanding or knowledge of data modelling concepts
High degree of ownership and accountability in technical leadership
Excellent problem-solving skills and engineering mindset
Preferred Qualifications, Capabilities, and Skills:
Experience working with global data platforms or catalogue systems
Familiarity with Fusion or similar data catalogue technologies
Ambition to progress to Executive Director
Internal experience within JPMorgan Chase is advantageous
Experience running squads in agile environments
Ability to coach and mentor engineers on compliant AI usage
Exposure to large, diverse engineering team
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