Lead software engineering initiatives for data platforms within an agile team. Provide technical guidance, develop and review secure production code, solve complex design and functionality problems, and influence application architecture and technical operations. Drive responsible adoption and governance of AI-assisted engineering tools, including code review, refactoring, testing, troubleshooting, and incident analysis. Serve as a subject matter expert, promote engineering standards, and contribute to firmwide software development practices.
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
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorganChase San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
Financial Services
Lead engineering of metadata, meta-modelling, and distributed systems; produce and review secure production Scala/Java code; drive adoption and governance of AI-assisted engineering across the SDLC; influence product design and operations; mentor technical teams; establish automation, validation standards, and reuse of proven patterns.
Top Skills:
Ai-Assisted Development ToolsCats EffectCloud NativeDomain Specific LanguagesFunctional ProgrammingJavaMagnoliaMeta-ProgrammingNoSQLScalaShapelessSQL
Financial Services
Lead design and delivery of metadata, meta-modelling, and distributed systems. Build secure, high-quality production code, drive adoption of AI-assisted engineering, improve SDLC automation and cloud-native delivery, set validation and governance standards, mentor engineers, and influence product and technical decisions.
Top Skills:
Ai-Assisted Development ToolsDistributed SystemsDomain Driven DesignDomain Specific LanguagesJavaMetadata/Meta-ModellingNoSQLPublic CloudReactScalaSdlc/Tlm ToolchainSQLTypescript
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Supports TransUnion UK’s second-line risk function by advising stakeholders, challenging risk management practices, conducting risk reviews, assessing controls, preparing governance and regulatory reports, maintaining the risk framework, and improving risk metrics, dashboards, and monitoring processes. The role collaborates with Internal Audit, Compliance, Legal, Data Governance, and business stakeholders in an FCA-regulated environment.
Top Skills:
ExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft Word
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
