When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.
As a Senior Manager of Software Engineering - Data Engineering Lead at JPMorgan Chase within Commercial and Investment Bank Technology, you will be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. You will work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.
Job Responsibilities
- Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
- Ensure successful collaboration with Product and Business Partners
- Gather and understand requirements, design and contribute to the architecture, create target state architecture and dataflows.
- Acquire data from primary or secondary data sources, identify, analyze, and interpret trends or patterns in complex data sets
- Transform existing ETL logic on AWS Platform or Data Bricks
- Innovate new ways of managing, transforming and validating data, and apply quality assurance best practices to all work products
- Implement new or enhance services/scripts, establish and enforce guidelines to ensure consistency, quality and completeness of data assets
- Analyze, design and code business-related solutions, as well as core architectural changes, using an Agile programming approach resulting in software delivered on time and in budget
- Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
- Advanced knowledge of application, data and infrastructure architecture disciplines
- Experience in a Big Data technologies (e.g. AWS, Spark, Kafka, Data Bricks etc.), along with experience in Java and Python
- Experience in writing efficient SQL's and implementing complex ETL transformations on big data platform
- Strong experience with UNIX shell scripting to automate file preparation and database loads, and familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.
- Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Demonstrated independent problem solving skills and ability to develop solutions to complex analytical/data-driven problems, along with ability to communicate complex issues in a crisp and concise fashion to multiple levels of management
- Excellent interpersonal skills necessary to work effectively with colleagues at various levels of the organization and across multiple locations with ability to manage multiple priorities and projects coupled with the flexibility to quickly adapt to ever-evolving business needs
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.
Preferred qualifications, capabilities, and skills
- Experience of working in a development teams, using agile techniques and Object Oriented development and scripting languages, is preferred
- Comfortable learning cutting edge technologies and applications to greenfield project
- Experience in Data Science, Machine Learning and AI is a plus
- Financial Services and Commercial banking experience is a plus
- Familiarity with NoSQL platforms(MongoDB, AWS Open Search) is a plus
- 3+ years of experience with Python is preferred
- 2+ years of Experience in Java Development
Skills Required
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 2+ years of experience leading technologists to manage and solve complex technical items
- Advanced knowledge of application, data and infrastructure architecture disciplines
- Experience in Big Data technologies (AWS, Spark, Kafka, Databricks) and experience in Java and Python
- Experience in writing efficient SQL and implementing complex ETL transformations on big data platforms
- Strong experience with UNIX shell scripting to automate file preparation and database loads; familiarity with relational DBs (Oracle, SQL Server)
- Experience in data quality testing; writing test cases and scripts and resolving data issues
- Strong analytical skills with attention to detail and accuracy
- Demonstrated independent problem solving and ability to communicate complex issues to multiple management levels
- Excellent interpersonal skills; ability to manage multiple priorities and projects across locations
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including governance and measurement
- Strong understanding of responsible AI use in engineering workflows and ability to coach managers/leads on safe scaling patterns
- Experience working in development teams using agile techniques, object-oriented development and scripting languages
- Comfortable learning cutting-edge technologies and applications for greenfield projects
- Experience in Data Science, Machine Learning and AI
- Financial Services and Commercial banking experience
- Familiarity with NoSQL platforms (MongoDB, AWS OpenSearch)
- 3+ years of experience with Python
- 2+ years of experience in Java development
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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