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VP, Software Engineering Leader
1 month ago
The Zelis Data Intelligence team is seeking a visionary and results-oriented leader to support the company's rapid growth and tech-enabled healthcare initiatives. As a VP, Software Engineering Leader, you will lead the scaling of global data and software engineering teams, managing the foundational enterprise data platform and creating tools and frameworks that enhance data collection and processing, analytics, and artificial intelligence.
Key Responsibilities
• Lead multiple data and software engineering teams, including resource levelling, mentoring, and maintaining best-of-class development practices.
• Collaborate with software architects, product managers, and engineers to architect and develop Best-In-Class data and software development practices/methodologies in delivering value quickly to stakeholders without sacrificing software quality.
• Build partnerships with Business Unit and technology leaders to establish a validated quarterly capacity/demand plan that enables delivery of the Product Roadmap and technology Investments.
• Act as a trusted advisor, building and maintaining relationships with technology leaders and Business stakeholders to develop a clear understanding of business needs and ensures cost-effective delivery of technology and data services to meet those needs.
• Maintain a dashboard of Key Performance Indicators tracking the efficacy of software delivery and the platform reliability of the supported environment(s).
• Research and advocate innovative technology approaches that drive dramatic increases in business value, reductions in Time to Build, and Total Cost of Ownership.
Requirements
• 10+ years of proficiency in data and software engineering, with a commendable track record of 5+ years dedicated to engineering management, encompassing managerial oversight of other managers.
• 10+ years in-depth experience in designing and implementing Service Oriented/Microservice Architecture(s).
• 5+ years of experience in wide variety of distributed systems and frameworks such as Apache Spark, Kafka, Airflow, TensorFlow, Docker, Snowflake, and more.
• 5+ years of building and maintaining Tier-1 (require 24*7 uptime and strict SLA) data-driven applications.
• 5+ years driving full DevOps software development and engineering practices recommended.
• 5+ years experience in cloud computing (AWS preferred) and AI/ML driven platforms.
• 5+ years leading production support teams responsible for surveillance, monitoring, and remediation of production reliability events.
• 5+ years supporting technology enablement in healthcare or financial services industry required.
• 3+ years of experience in managing global engineering teams.
• Diverse experience with a broad range of software development platforms, technologies, frameworks, and languages.
• Proven ability to manage multiple product and solutions while meeting aggressive release schedules.
• Strong technical vision and continuous improvement motivation and drive.
Education
Bachelor's degree in computer science or equivalent. Master of Business Administration or Engineering discipline (Preferred).