We have an exciting opportunity to lead a agile team, manage day-to-day implementation activities, hands on coding, and set overall guidance.
As a Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking, you will lead multiple teams, overseeing daily implementation activities. Your role involves identifying and escalating issues while ensuring that your team's work aligns with compliance standards, business requirements, and tactical best practices.
Job Responsibilities

Responsible for all aspects of data strategy, governance, data risk management, reporting and analytics.Work with product owners, data owners and customers to evaluate data requirements and identifying right technology solutions and implementation. Design, develop, code, test, debug and deploy applications for scalable and extensible applications. Product high quality code utilizing Test Driven Development techniques. Participate in retrospectives to drive continuous improvement with in the feature team. Participate 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 AWS Public clouds.  

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience. advanced knowledge of architecture, design and business processes. Full software development life cycle experience within an Agile frameworkExpert level implementation skills with Abinitio, Spark, and Python.  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. Responsible for understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)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 qualifications, capabilities, and skills

Ability to work fast and quickly ramp up on new technologies and strategiesAbility to work collaboratively in teams and develop meaningful relationships to achieve common goals. Appreciation of Controls and Compliance processes for applications and dataIn depth understanding of data technologies and solutions is preferable. Drive process improvements and implement process changes as necessary. Knowledge of industry-wide Big Data technology trends and best practices