Director of Software Engineering - Data Governance (AIML)

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 JPMorgan Chase within the Chief Data & Analytics Office's Data Governance Engineering team, you will play a pivotal role in supporting the firm in delivering services to clients and advancing the firm-wide agenda for Data & Analytics. You will lead firm-wide initiatives through a unified Data Analytics Platform, in alignment with the firm's Data & AI strategy. Collaborating with engineering teams, you will be responsible for creating designs, establishing best practices, and developing guidelines along with scalable frameworks to effectively manage large volumes of data, ensuring interoperability, compliance with data classification requirements, and maintaining data integrity and accessibility. You will work closely with Product & Engineering teams to promote unified engineering execution across multiple initiatives, strategically designing and building applications that address real-world use cases. Your expertise in software, applications, technical processes, and product management will be essential in promoting complex projects and initiatives, serving as a primary decision-maker and a champion of innovation and solution delivery. As part of the Product Delivery team, you will design and build scalable cloud-native foundational data governance products and services that support the Data Risk Pillars, providing a unified experience through the CDAO platform..

Job responsibilities

• Collaborate with product and engineering teams to deliver robust firm wide data governance solutions that drive enhanced customer experiences.
• Provides critical day-to-day leadership and strategic thinking, working with team of engineers and architects to align cross-functional initiatives, ensuring they are feasible both fiscally and technically.
• Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures.
• Champions the firm’s culture of diversity, equity, inclusion, and respect
• Will be leading the consolidation and convergence effort of the Data Governance capabilities under unified CDAO Platform and other priority firmwide initiatives related to BCBS 239, data lineage, controls & data quality.
• Enable engineering teams to Develop, enhance, and maintain established standards and best practices, Drive, self-service, and deliver on a strategy to operate on a build broad use of Amazon's utility computing web services (., AWS EC2, AWS S3, AWS RDS, AWS CloudFront, CloudWatch, EKS)
• Identify opportunities to improve resiliency, availability, secure, high performing platforms in Public Cloud using JPMC best practices.
• Implement continuous process improvement, including but not limited to policy, procedures, and production monitoring and reduce time to resolve. Identify, coordinate, and implement initiatives / projects and activities that create efficiencies and optimize technical processing.
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve.
• Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Graph DB and Open Source RDBMs databases, Container Orchestration services including Kubernetes, and a variety of AWS tools and services.

Required qualifications, capabilities, and skills.

Preferred qualifications, capabilities, and skills