Python Senior Manager of Software Engineering

When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact. You were made for this.

As a Python Senior Manager of Software Engineering at JPMorgan Chase within the Firmwide Planning and Analysis Data Platform Team, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.,

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks


• Be accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures


• Ensures successful collaboration across teams and stakeholders


• Identifies and mitigates issues to execute a book of work while escalating issues as necessary


• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team


• Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation
  
  Formal training or certification on software engineering concepts and experience in Data Management, Data Integration, Data Quality, Data Monitoring and Analytics experience.


• Experience leading teams of technologists and managing global stakeholders


• Experience in data engineering with proficiency in Python and PySpark.


• Experience with building Cloud native applications using cloud platforms such as AWS, Azure, GCP and experience in leveraging cloud services for data storage, processing and analytics.


• Hands-on experience in data integration and handling projects that involves processing huge volume of data for reporting models.


• Hands-on experience in database system (both SQL and NOSQL) and create/maintain scalable database load process with framing up Complex SQL Queries and ensuring optimal data storage and retrieval.


• Expertise in working with agile projects to automated testing / dev ops environments.


• Knowledge of big data technologies such Apache Spark(Preferably Pyspark)


• Hands-on experience with containerization technologies like Docker and Kubernetes (EKS).


• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
  
  J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.