Manager of Software Engineering: Data Analytics

JPMorgan Chase & Co.•New York, NY

About The Position

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Manager of Software Engineering: Data Analytics at JPMorganChase within the CCB Connected Commerce - Banking Payments, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Requirements

Formal training in software engineering concepts and 5+ years of applied experience
Extensive experience building and operating AWS/public cloud–based applications
Strong Python (Pyspark) programming skills
Proven hands‑on delivery across system design, application development, testing, and operational stability.
Experience managing technologists
Proficient in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
In-depth knowledge of the financial services industry and their IT systems
Experience working at code level
Experience with pipelines and DAGs for data processing and/or machine learning
Demonstrated proficiency in cloud and AI/ML software practices
Experience driving adoption of AI engineering tools (e.g., GitHub Copilot) for JIRA, documentation, coding, and releases, with measurable productivity and quality gains

Nice To Haves

AWS (hands-on): Glue, EventBridge, Step Functions, S3, Lambda, ECS, EKS, Kinesis, CloudWatch
Outside AWS: Python, Terraform, TigerGraph, graph databases, GitHub Copilot, Airflow, Kubernetes
JPMC platforms/tools (highly preferred): Jules/JET, GKP (Gaia Kubernetes) – For Internal to JPMC

Responsibilities

Provides guidance to immediate team of software engineers on daily tasks and activities
Sets the overall guidance and expectations for team output, practices, and collaboration
Anticipates dependencies with other teams to deliver products and applications in line with business requirements
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and data pipelines
Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements