Join our Corporate Investment Bank Operational Resiliency team and help shape how we make confident, risk-informed decisions that strengthen business resilience. You will build trusted, well-governed data products that power analytics, scenario generation, and clear insight into technology recovery risk. You will partner across cybersecurity, engineering, controls, and business stakeholders to deliver pragmatic solutions with measurable outcomes. If you enjoy production-grade engineering and solving complex problems at scale, this role offers the chance to make a visible impact.
As a Resiliency Data Products - Data Engineer Vice President within Corporate Investment Bank Operational Resiliency, you will design, build, and run data products and pipelines that improve how we understand and manage technology resiliency and recovery risk. You will help us create high-quality, well-governed data with end-to-end lineage so teams can make better decisions with confidence. You will work in a collaborative, cross-functional environment where engineering discipline, controls, and operational outcomes matter.
Job responsibilities
- Design, build, and operate production-grade data pipelines that ingest, cleanse, transform, and aggregate data from multiple sources
- Build resilient data products that support lineage, traceability, and trusted analytics for resiliency and recovery risk use cases
- Develop and evolve logical and physical data models that represent user flows, system dependencies, resiliency signals, and risk measures
- Translate business, risk, and control requirements into technical designs and an achievable delivery plan
- Partner with architects, engineers, analysts, and stakeholders across a matrix organization to deliver outcomes end to end
- Implement and continuously improve data quality, metadata management, and governance controls to improve reliability and auditability
- Enable data lineage across sources, transformations, and curated outputs to support explainability and operational decision-making
- Apply modern architecture patterns to support scalable and, where needed, near real-time data requirements
- Use structured and non-relational database technologies to optimize performance and operational stability
- Embed engineering best practices such as version control, automated testing, code review, and continuous integration and delivery
- Produce clear updates on progress, risks, and dependencies and drive timely decisions to keep delivery on track
Required qualifications, capabilities, and skills
- Relevant experience in data engineering, analytics engineering, or data platform engineering across the data lifecycle from collection through modeling and analytics enablement
- Strong proficiency in Structured Query Language (SQL) and hands-on programming experience in Python
- Practical experience with data modeling and data integration processes across multiple systems, including migration and complex data mapping
- Experience working with relational database technologies (for example, PostgreSQL or MySQL), including performance optimization and operational management
- Experience with non-relational database technologies (for example, MongoDB) and associated query patterns
- Familiarity with large-scale data processing and analytics platforms (for example, Apache Spark or Hadoop)
- Experience implementing, or partnering closely on, data quality, metadata, and governance controls to improve reliability and auditability
- Understanding of modern distributed systems patterns (for example, application programming interfaces and event streaming) and cloud-based environments
- Strong analytical and problem-solving skills, with attention to detail and a focus on root-cause thinking
- Strong communication skills and the ability to build partnerships across business and technology stakeholders
Preferred qualifications, capabilities and skills
- Degree (or equivalent practical experience) in computer science, information systems, data science, or a related field
- Experience with scenario generation or modeling approaches that support resiliency and recovery risk analysis
- Exposure to statistical and analytical techniques, including familiarity with data mining methods
- Experience producing clear data architecture artifacts such as target-state diagrams, data flows, lineage views, and conceptual or logical models
- Industry accreditation such as TOGAF or cloud/solution architecture certifications
Skills Required
- Relevant experience in data engineering, analytics engineering, or data platform engineering across the data lifecycle
- Strong proficiency in SQL
- Hands-on programming experience in Python
- Experience with data modeling and data integration across multiple systems, including migration and complex data mapping
- Experience with relational databases such as PostgreSQL or MySQL, including performance optimization and operational management
- Experience with non-relational databases such as MongoDB and associated query patterns
- Familiarity with large-scale data processing and analytics platforms such as Apache Spark or Hadoop
- Experience implementing or partnering on data quality, metadata, and governance controls
- Understanding of distributed systems patterns, APIs, event streaming, and cloud environments
- Strong analytical, problem-solving, communication, and stakeholder partnership skills
- Degree or equivalent practical experience in computer science, information systems, data science, or a related field
- Experience with scenario generation or modeling for resiliency and recovery risk analysis
- Exposure to statistical, analytical, and data mining techniques
- Experience producing data architecture artifacts, including target-state diagrams, data flows, lineage views, and conceptual or logical models
- TOGAF or cloud/solution architecture certification
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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