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 Banking Technology group, 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 tasksArchitect and scale ML/Gen AI solutions to support personalized and proactive services, ensuring intelligent anomaly detection and efficient first responder agents.Develop and manage robust ML pipelines for batch and real-time processing, handling hundreds of millions of daily records using technologies such as Athena, Alteryx, Spark, and AWS Glue.Lead CI/CD pipeline development and infrastructure-as-code practices to ensure resilient and reproducible systems.Collaborate with cross-functional teams—including Business, Engineering, Legal, and Compliance—to transform models into live customer experiences.Be 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, equity, 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 leading teams of technologists4+ years applied experience in Machine LearningAbility to guide and coach teams on approach to achieve goals aligned against a set of strategic initiativesExperience with hiring, developing, and recognizing talentIn-depth knowledge of the services industry and their IT systemsPractical cloud native experienceExperience and proficiency in Alteryx, Athena, Spark, Python, PySpark, AWS, and/or AzureExperience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines

 

Preferred qualifications, capabilities, and skills

 

Experience working at code levelStrong understanding of model monitoring, evaluation, and metrics like precision and recall.Proven track record in data science, aligning technical decisions with business KPIs, and leading teams to achieve strategic goals.Successful in A/B testing and metric-driven decision-making.Scientific thinker with practical cloud-native experience and a collaborative approach.