We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Sr. Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Post Trade Technology team , you will also be accountable for identifying and mitigating data risks throughout the data life cycle in compliance with Firmwide policies and standards. You will serve as a member of the product team, collaborating with the Product Owner, design, and technology leads to ensure that the product delivers data in a manner consistent with the quality and safety requirements of the business. You will also partner with their aligned Data & Analytics lead to drive increased business value through the identification of data required to support analytics outcomes.
Job responsibilities
- Create plans for developing and delivering product data to support strategic objectives, operations, analytics, and reporting.
- Collaborate with key partners to drive understanding of data and its business use and Provide subject matter expertise on product data content and usage within the business area.
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- Identify and document the scope, meaning, purpose, and classification of critical product data with appropriate metadata.
- Support Data & Analytics leads by identifying data needed for integration into analytics platforms for projects.
- Document and coordinate requirements for data accuracy, completeness, and timeliness and Influence resources to resolve data issues promptly.
- Develop processes to identify, monitor, and mitigate data risks, including protection, retention, destruction, storage, use, and quality.
- Manage tasks to comply with firmwide policies, standards, and procedures for data integrity and protection.
- Build relationships with product data delivery partners and consumers, including leaders in Business, Technology, Analytics, Operations, Risk, and Control.
- Track and manage milestones, risks, bottlenecks, workstreams, KPIs, and staff to ensure successful data-related deliveries.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience in a data technology including data governance and data management
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
- Strong understanding of API concepts, lifecycle, and documentation (OpenAPI/Swagger, REST, GraphQL).
- Experience in event-driven architectures or messaging platforms (e.g., Apache Kafka)
- Knowledge of data privacy, security, and regulatory requirements relevant to financial services.
- Strong analytical, organizational, and problem-solving skills. Proficient in data analysis tools;
- Demonstrated ability to manage delivery timelines, and ensure our product and organization is on track to meet our goals
- Excellent written and verbal communication skills and ability to work collaboratively with technical and business stakeholders.
Skills Required
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience in a data technology including data governance and data management
- Demonstrated experience leading enterprise-authorized AI-assisted software development tools usage
- Strong understanding of responsible AI use in engineering workflows and related controls
- Strong understanding of API concepts, lifecycle, and documentation (OpenAPI/Swagger, REST, GraphQL)
- Experience in event-driven architectures or messaging platforms (e.g., Apache Kafka)
- Knowledge of data privacy, security, and regulatory requirements relevant to financial services
- Proficiency in data analysis tools and strong analytical, organizational, and problem-solving skills
- Demonstrated ability to manage delivery timelines and ensure product/organization goals are met
- Excellent written and verbal communication skills and ability to work collaboratively with stakeholders
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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