Director of Software Engineering - Data and Analytics Services

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 the Corporate Data and Analytics Services team, you will lead a technical area and drive impact within teams, technologies, and projects across departments.

Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams 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 10+ 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 leading large feature teams of software engineers 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


* 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 applications


* Experience in Data technologies handling complex data processing requirements-Data streaming and messaging frameworks (e.g.

Kafka, Spark St...