JPMorgan Chase - Columbus, OH

posted 3 months ago

Full-time - Manager
Columbus, OH
Credit Intermediation and Related Activities

About the position

As a Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking in Data Technology, you will lead multiple teams and manage day-to-day implementation activities. This role focuses on ensuring compliance with standards, managing data strategy, governance, and risk management, while also driving continuous improvement and high-quality code production through Test Driven Development techniques.

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 technology solutions.
  • Design, develop, code, test, debug, and deploy scalable applications.
  • Produce high-quality code utilizing Test Driven Development techniques.
  • Participate in retrospectives to drive continuous improvement within the feature team.
  • Participate in code reviews and ensure solutions align with 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 diverse team of technologists.
  • Conduct regular touch points with direct reports, provide timely feedback, and build a culture of high performance.

Requirements

  • 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.
  • Familiar with multiple Data & Analytics technology stacks.

Nice-to-haves

  • Ability to work fast and quickly ramp up on new technologies and strategies.
  • Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.
  • Appreciation of Controls and Compliance processes for applications and data.
  • In-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.

Benefits

  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching
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