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 Structured Streaming)
• Experience building data pipelines and platforms on AWS
• Development experience on private cloud, public cloud (using EC2, S3, RDS, Lambda,  EMR, Step functions, Glue), ETLs and Data Pipeline

Preferred qualifications, capabilities, and skills

• Experience working at code level
• Experience working with large datasets, data warehouses and data modelling