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 Senior Manager of Software Engineering at JPMorgan Chase within the Consumer & Community Banking, Data Management, 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.

Job responsibilities: 

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 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

Required qualifications, capabilities, and skills: 

Formal training or certification on data engineering concepts and 5+ years applied experience with 5+ years of leading hands-on Cloud Native Data Engineering Teams Experience building and deploying AWS Data Lake and Data Pipeline Services such as Glue, EMR Expert level knowledge with Java and Python technologies Experience delivering data platform solutions Experience leading teams of technologists Possess AWS Solution Architect and AWS Data Analytics Specialty or equivalent Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives Experience with hiring, developing, and recognizing talent In-depth knowledge of the services industry and their IT systems Practical cloud native experience Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines

Preferred qualifications, capabilities, and skills: 

Hands-on experience building AWS lake formation based data lake platform Experience working with financial and banking services Experience with CI/CD implementation