JPMorgan Chase & Co.
Senior Director of Software Engineering - Personalization Lead
JPMorgan Chase & Co., Jersey City, New Jersey, United States, 07390
Your 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 Corporate Technology EX Employee Platforms 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 onsoftware engineering 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
Experience developing or leading large or cross-functional teams of technologists
Experience developing personalized/targeted content delivery using a headless CMS
Experience delivering large scale enterprise applications on AWS with Infrastructure as Code (IAC), elastic scaling services, and high performance / high availability
Experience with highly reliable and redundant solutions that comply with international data usage regulations in both on-prem data centers and AWS environments
Experience with real time (or near real time) event streaming application implementations
Practical knowledge of A/B testing or Multivariate testing
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Proficient in one or more programming language(s) - (Java / Python / React / etc.)
Experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices
Preferred qualifications, capabilities, and skills
Experience working at code level and ability to be hands-on developing Proof of Concepts (PoCs) and conduct code reviews
Experience in designing and developing large scale data pipelines for batch & stream processing with practical understanding of data warehousing, data lake, ETL processes and big data technologies, such as Hadoop, Snowflake, Databricks, Apache Spark, Airflow, Apache Kafka, or equivalent technology stacks.
Practical AWS experience is a preferred
Practical Adobe Experience Manager (AEM) and Adobe Target or equivalent is preferred
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As a Senior Director of Software Engineering at JPMorgan Chase within the Corporate Technology EX Employee Platforms 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 onsoftware engineering 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
Experience developing or leading large or cross-functional teams of technologists
Experience developing personalized/targeted content delivery using a headless CMS
Experience delivering large scale enterprise applications on AWS with Infrastructure as Code (IAC), elastic scaling services, and high performance / high availability
Experience with highly reliable and redundant solutions that comply with international data usage regulations in both on-prem data centers and AWS environments
Experience with real time (or near real time) event streaming application implementations
Practical knowledge of A/B testing or Multivariate testing
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Proficient in one or more programming language(s) - (Java / Python / React / etc.)
Experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices
Preferred qualifications, capabilities, and skills
Experience working at code level and ability to be hands-on developing Proof of Concepts (PoCs) and conduct code reviews
Experience in designing and developing large scale data pipelines for batch & stream processing with practical understanding of data warehousing, data lake, ETL processes and big data technologies, such as Hadoop, Snowflake, Databricks, Apache Spark, Airflow, Apache Kafka, or equivalent technology stacks.
Practical AWS experience is a preferred
Practical Adobe Experience Manager (AEM) and Adobe Target or equivalent is preferred
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