This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

As a Manager of Software Engineering at JPMorgan Chase within the Corporate Sector's Data Services team, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.

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 Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements Creates a culture of diversity, equity, inclusion, and respect for the team members and prioritizes diverse representation

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience. Experience working with big data preferably in the financial domain Proven experience in Data Engineering and Analytics High level understanding of AI/ML Ops specifically related to Anomaly Detection and Data Discovery LLMs Data Engineering with Python & Spark (including System Design). Experience in AWS or equivalent public cloud. Prior experience with Feature engineering and ML Ops primarily focused on Anomalies. Strong understanding of Logical and Physical Data models. Ability to manage a team of developers and stakeholder management Experience leading technology projects with Agile

 

Preferred qualifications, capabilities, and skills

Experience working at code level Experience with Databricks Lakehouse Platform. Prior Experience with in-memory cuing solutions such as Atoti/CubeJS