Manager of Software Engineering - Data Delivery

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

As a Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking in Data Technology, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team's work adheres to compliance standards, business requirements, and tactical best practices.

Job responsibilities


* Responsible for all aspects of data strategy, governance, data risk management, reporting and analytics.


* Manage risk associated with data use, data retention / destruction and data privacy.


* Work with product owners, data owners and customers to evaluate data requirements and identify right technology solutions and implementation.


* Design, develop, code, test, debug and deploy applications for scalable and extensible applications.


* Produce high quality code utilizing Test Driven Development techniques.


* Participate in retrospectives to drive continuous improvement within the feature team.


* Participating in code reviews and ensuring that all solutions are aligned to pre-defined architectural specifications.


* Implement Automation: Continuous Integration and Continuous Delivery.


* Manage Cloud Development and Deployment: Support development and deployment of applications into Private and Public clouds.


* Manage a team of software engineers and build a team of diverse individuals and technologists.


* Conduct regular touch points with direct reports, provide timely feedback and build a culture of high performing team.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 10+ years applied experience.


* Advanced knowledge of architecture, design and business processes


* Full Software Development Life Cycle experience within an Agile framework


* Expert-level implementation skills with Java, AWS, Database technologies, Python, Scala, Spark, Ab Initio.


* Experience with the development and decomposition of complex SQL (RDMS Platforms)


* Experience with Data Warehousing concepts (including Star Schema)


* Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence.

Familiar with relevant technological solutions and industry best practices


* Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)


* Familiar with multiple Data & Analytics technology stacks


* Aware of various Data & Analytics tools and techniques (e.g.

Python, data mining, predictive analytics, machine learning, data modelling, etc.)


* Experience with one or more leading cloud providers (AWS/Azure/GCP)

Preferred q...