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 - Java/Python/AI at JPMorganChase within the Credit and Consumer Banking Risk technology, 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
- 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, opportunity, inclusion, and respect for team members and prioritizes diverse representation
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
- Experience with software development using one or more of the following tech stack, Java/Springboot, Python, BigData/Hadoop
- Experience leading software development with Agentic AI
- Experience leading teams of technologists
- 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 in AWS
- Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
Preferred qualifications, capabilities, and skills
- Knowledge of Business Rules Engines like Drools, IBM ODM, Sapiens.