Director of Software Engineering - Data Product Engineering

If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you.

As a Director of Software Engineering at JPMorganChase within the Corporate Data and Analytics Services team, you will lead a technical area and drive impact, working closely with multiple Engineering teams, technologies, and projects across departments.

You should be able to utilize in-depth knowledge of software, applications, architecture, technical processes, and product management and banking domain expertise to drive and deliver multiple complex programs and initiatives, while serving as a primary decision maker and be a driver of innovation and solution delivery.

Job responsibilities


* Leads technology and process implementations to achieve functional technology objectives


* Makes decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures


* Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations


* Delivers technical solutions that can be leveraged across multiple businesses and domains


* Influences peer leaders and senior stakeholders across the business, product, and technology teams


* Champions the firm's culture of diversity, opportunity, inclusion, and respect


* Establishes architecture, execution strategy and plans


* Sets the overall guidance and expectations for team output, practices, and collaboration


* Provides guidance to immediate team of software engineers on daily tasks and activities


* Anticipates dependencies with other teams to deliver products and applications in line with business requirements

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 15+ years applied experience.

In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization.


* Experience working with feature teams of software engineers, Product owners, Agility leads to deliver intensive data driven applications


* In-depth knowledge and experience in Java and/or Python, with a strong understanding of scripting, automation, and data analysis


* Good understanding of AI tooling


* Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud, including deployment and management of cloud-based applications


* Expertise in data platform technologies, particularly with tools like Databricks, for data processing and analytics


* Proficient in all aspects of the Software Development Life Cycle and advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


* Strong expertise in building RESTful micro-services using Spring Boot ...