DescriptionYour opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together.
As a Senior Director of Software Engineering at JPMorgan Chase within the Consumer & Community Bank Data Technology team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.
Job responsibilities
- Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
- Directly manages multiple areas with strategic transactional focus
- Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
- Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
- Manages multiple stakeholders, complex projects, and large cross-product collaborations
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
- Champions the firm’s culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training, or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization
- 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
- Experience with hiring, developing, and recognizing talent
- Extensive practical cloud native experience
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
- Proven experience in designing and developing large scale data pipelines for batch & stream processing
- Strong understanding of Data Warehousing, Data Lake, ETL processes and Big Data technologies (e.g Hadoop, Apache Spark, Apache Kafka, Open File & Table Formats etc. )
- Expertise with public cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools
- Excellent communication, presentation, and interpersonal skills
Preferred qualifications, capabilities, and skills
- Experience working at code level
- Experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices
- Understanding of Data Validation / Data Quality
- Experience with supporting large scale AI/ML Data requirements
- Experience in Data visualization & BI tools is a huge plus