Director of Software Engineering

As a Director of Software Engineering and Data Platforms at JPMorgan Chase within CCBs MLIO Team, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of data, 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

• Play a pivotal role in shaping the our banks data strategy
• Manage a team of managers and individual contributors
• Lead a talented team of engineers, partner with cross-functional stakeholders, and own the roadmap for building a unified, scalable, secure, and reliable data platform to enable advanced analytics, machine learning, and real-time decision-making
• Define and execute the vision, strategy, and roadmap for the data platform in alignment with the company s business objectives
• Drive innovation in the data platform space, ensuring scalability, flexibility, and future-proof architecture
• Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on data initiatives and solutions
• Architect and oversee the development of a next-generation data platform leveraging cutting-edge technologies
• Ensure the platform supports complex use cases, including real-time streaming, big data processing, and advanced machine learning
• Creating the right team processes, structure, and systems to build and maintain high-quality code that powers our data infrastructure
• Promoting data quality, integrity, and security across the organization

Required qualifications, capabilities, and skills

• Formal training or certification on relevant job skill concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization.
• Proven track record of building and scaling data platforms in high-growth or enterprise environments
• Hands-on experience and expertise in data manipulation using tools such as Python, SQL Spark, and Databricks,
• Deep understanding of distributed systems, cloud-native architectures, and modern data technologies (eg, Spark, Kafka, Databricks, Kubernetes, Confluent)
• Experience in cloud platforms such as AWS, GCP, or Azure
• Knowledgeable in Data Lakes, Warehouses and Feature Stores (ie AWS Lake Formation, Feast, Databricks, Snowflake)
• Strong proficiency in programming languages (eg, Python, Java) and infrastructure as code (eg, Terraform, CloudFormation)
• Hands-on experience with data pipeline ETL and orchestration tools (eg, Airflow, Glue) and real-time processing frameworks
• Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Experience working at code level