
Director of Software Engineering
at J.P. Morgan
Posted 17 days ago
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Senior engineering leader role within Home Lending Technology responsible for leading a technical area, driving innovation, and delivering scalable data and software solutions across the organization. The director will manage multiple teams, stakeholders, budgets, and complex projects while owning technical decisions, governance, and operational stability. Role requires deep expertise in large-scale data pipelines, cloud-native architectures, and modern data engineering tools, with experience influencing cross-functional senior stakeholders. The position is based in Wilmington, DE and focuses on delivering enterprise-grade solutions for the business.
- Compensation
- Not specified
- City
- Wilmington
- Country
- United States
Currency: Not specified
Full Job Description
Location: Wilmington, DE, United States
If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you.
As a Director of Software Engineering at JPMorgan Chase within Home Lending Technology, you will lead a technical area and influence teams, technologies, and projects across various departments. You will leverage your extensive expertise in software, applications, technical processes, and product management to oversee multiple complex projects and initiatives. In this role, you will serve as the primary decision maker for your teams, promoting innovation and ensuring the successful delivery of solutions.
Job responsibilities
- Leads technology and process implementations to achieve functional technology objectives
- Directly manages multiple areas with strategic transactional focus
- Manages multiple stakeholders, complex projects, and large cross-product collaborations
- Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
- Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
- Delivers technical solutions that can be leveraged across multiple businesses and domains
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
- Champions the firm’s culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on data management concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
- Proven experience in designing and developing large scale data pipelines for batch & stream processing
- Strong understanding of Data Validation / Data Quality
- Strong understanding of Data Warehousing, Data Lake, ETL processes and Big Data technologies (e.g Hadoop, Snowflake, Databricks, Apache Spark, PySpark, Airflow, Apache Kafka, Java, Open File & Table Formats, GIT, CI/CD pipelines etc. )
- Expertise with public cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools
- Excellent communication, presentation, and interpersonal skills Experience developing or leading large or cross-functional teams of technologists
- Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
- Experience leading complex projects supporting system design, testing, and operational stability
- Extensive practical cloud native experience
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skills
- Experience working at code level and ability to be hands-on performing PoCs, code reviews
- Experience in Data Modeling (ability to design Conceptual, Logical and Physical Models, ERDs and proficiency in data modeling software like ERwin)
- Experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices
- Experience with supporting large scale AI/ML Data requirements
- Experience in Data visualization & BI tools is a huge plus




