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 Corporate Sector's Corporate Data and Analytics 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.

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 tasksBe accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and proceduresEnsures successful collaboration across teams and stakeholdersIdentifies and mitigates issues to execute a book of work while escalating issues as necessaryProvides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the teamCreates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

 

Required qualifications, capabilities, and skills

 Formal training or certification on technology project management concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience.Experience leading teams of technologistsExperience in mainframe technologies and tools, including Cobol, CICS, DB2, VSAM, MQ messaging, Stored procedures, DB2 Utilities, JCL, ChangeMan, NDM, and file transfer mechanisms is must Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiativesExperience in managing large-scale mainframe implementations and systems.In-depth knowledge of the services industry and their IT systemsPractical cloud native experienceExperience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines

 

Preferred qualifications, capabilities, and skills

Experience working at code levelExperience with distributed technologies and AI tools is highly desirable.