Manager of Software Engineering: Data Analytics

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.

Job 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

Required qualifications, capabilities, and skills


* 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

Preferred qualifications, capabilities, and skills


* 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 Kubernete...