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 and Business Intelligence 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 working 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. Ensure successful collaboration across teams and stakeholders. Identify and mitigate issues to execute a book of work while escalating issues as necessary. Provide input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team. Create a culture of diversity, equity, inclusion, and respect for team members and prioritize diverse representation.

Required qualifications, capabilities, and skills

Formal training or certification in software engineering concepts with 5+ years of applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise Extensive experience in information technology with a focus on application development, covering the entire development lifecycle. Proficiency in modern software development technologies (Java/JS/REST/React/Python) and methodologies (Agile/Scrum). Experience with data processing frameworks and development at scale (Hadoop, Spark, Databricks, DBT, etc.). Expertise in AWS, with a strong understanding of key data technologies such as Snowflake, Redshift, EMR, Athena, S3, ECS, and Lambda. Proven ability to lead technologists in managing and solving complex technical challenges, including hiring, developing, and recognizing talent.

Preferred qualifications, capabilities, and skills

Data engineering, AI/ML, and/or feature engineering experience. Expertise in application, data, and infrastructure architecture disciplines as well as advanced knowledge of architecture and design across all systems. Management experience in a large banking or financial services technology environment. Public Cloud Certification, preferably AWS.