Job Description
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 (e.g., 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.
Formal training or certification on software engineering 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.
Experience in building or supporting environments on AWS using Terraform, which includes working with services like EKS, ELB, RDS, and S3.
Strong understanding of business technology drivers and their impact on architecture design, performance, and monitoring best practices.
Dynamic individual with excellent communication skills, capable of adapting verbiage and style to the audience at hand and delivering critical information in a clear and concise manner.
Strong experience in managing stakeholders at all levels.
Strong analytical thinker with business acumen and the ability to assimilate information quickly, with a solution-based focus on incident and problem management.
Hands-on experience with one or more cloud computing platform providers
Experience in architecting for private and public cloud environments and in re-engineering and migrating on-premises data solutions to the cloud.
Proficiency in building on emerging cloud server less managed services to minimize or eliminate physical and virtual server footprints.
Experience with high-volume, mission-critical applications and their interdependencies with other applications and databases.
Proven work experience with container platforms such as Kubernetes. Strong understanding of architecture, design, and business processes. Keen understanding of financial and budget management, control, and optimization of public cloud expenses. Experience working in large, collaborative teams to achieve organizational goals. Passionate about building an innovative culture.
Preferred qualifications, capabilities, and skills
Bachelor’s /Master’s degree in Computer science or other technical, scientific discipline
Experience implementing multi-cloud architectures and deep understanding of cloud infrastructure design, architecture, and cloud migration strategies.
Demonstrated proficiency in technical solutions, implementing firm wide solutions and experience in data governance vendor product knowledge is a plus.
Certifications in target areas (AWS Cloud/Kubernetes etc.)
Experience leading Data Governance and Data Risk Reporting platforms is a preferred.
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 (e.g., 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.
Formal training or certification on software engineering 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.
Experience in building or supporting environments on AWS using Terraform, which includes working with services like EKS, ELB, RDS, and S3.
Strong understanding of business technology drivers and their impact on architecture design, performance, and monitoring best practices.
Dynamic individual with excellent communication skills, capable of adapting verbiage and style to the audience at hand and delivering critical information in a clear and concise manner.
Strong experience in managing stakeholders at all levels.
Strong analytical thinker with business acumen and the ability to assimilate information quickly, with a solution-based focus on incident and problem management.
Hands-on experience with one or more cloud computing platform providers
Experience in architecting for private and public cloud environments and in re-engineering and migrating on-premises data solutions to the cloud.
Proficiency in building on emerging cloud server less managed services to minimize or eliminate physical and virtual server footprints.
Experience with high-volume, mission-critical applications and their interdependencies with other applications and databases.
Proven work experience with container platforms such as Kubernetes. Strong understanding of architecture, design, and business processes. Keen understanding of financial and budget management, control, and optimization of public cloud expenses. Experience working in large, collaborative teams to achieve organizational goals. Passionate about building an innovative culture.
Preferred qualifications, capabilities, and skills
Bachelor’s /Master’s degree in Computer science or other technical, scientific discipline
Experience implementing multi-cloud architectures and deep understanding of cloud infrastructure design, architecture, and cloud migration strategies.
Demonstrated proficiency in technical solutions, implementing firm wide solutions and experience in data governance vendor product knowledge is a plus.
Certifications in target areas (AWS Cloud/Kubernetes etc.)
Experience leading Data Governance and Data Risk Reporting platforms is a preferred.
💡 Quick Summary
Seeking a career-building opportunity? The Director of Software Engineering - Data Governance (AIML) position is now open for candidates interested in the Software Developer Jobs sector. This role in Hyderabad offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
