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CVS Health is seeking a highly experienced and innovative Leader – Lead Director - Software Development Engineer to lead the strategy, design and development of Aetna technology data platforms. This role requires deep leadership experience, strategic thinking, and a passion for driving excellence in software engineering practices. The individual will also be responsible for defining and governing the organization's data strategy and must have deep expertise in data platforms.
Job Responsibility:
Lead and coach a team of Principal and Lead Engineers to build a strategic data platform for Aetna Technology
Define and communicate the broader vision while executing the IT strategy in alignment with organizational standards
Serve as the primary point of contact for stakeholders—including architects, application owners, and engineers—to define overall strategy, prioritization, and execution
Manage an annual budget of $15M+ to achieve business goals in alignment with IT strategy
Establish a streamlined operating model for the data platform, keeping stability and resiliency as the top priority
Develop and maintain roadmaps that align critical business needs with scalable technical solutions
Leverage performance data to create feedback loops that drive continuous insight and improvement
Champion strong product management and agile mindsets by actively communicating team successes and identifying areas for growth
Build and lead high-performing teams capable of overcoming complex technical challenges to solve business-critical problems
Requirements:
10+ years of experience in software development or architecture
7+ years of experience managing teams in a large-scale organization
5+ years of experience with data technologies such as MarkLogic, MongoDB, PostgreSQL, and DocumentDB
Bachelor's degree or equivalent experience (HS diploma + 4 years relevant experience)
Deep leadership experience and strategic thinking
Expertise in coaching and leading teams aligned to business priorities
Proven track record of delivering cloud-native platforms
Nice to have:
Familiarity with various data structures and models
Excellent knowledge about Data streamlining tools such as Kafka, Precisely, Qlik etc.
Strong foundational knowledge in AI, with hands-on experience using technologies such as OpenAI, Gemini, and agentic AI automation
Excellent understanding of integration services and API platforms
Experience building and managing large-scale enterprise platforms
Experience in the healthcare domain
Experience with cloud networking and firewall implementation for new platforms
Exceptional teamwork and collaboration skills, with a growth mindset focused on agility and continuous improvement
Solid understanding of core programming and computer science concepts, including cloud computing, AI/ML, microservices architecture, and NoSQL databases
Experience with application and database migration and modernization to the cloud
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