Lead Director, Software Development Engineering

Position Summary We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.Our Analytics Engineering team within the Data & Analytics division of our Data, Digital, Analytics, Technology (DDAT) organization is seeking a Lead Director, Software Development Engineering. We are looking for passionate, driven individuals who are ready to lead a team of analytics engineers (software, ML, data) who support Aetna’s data science teams. Our work ensures that we apply the tools and resources at our disposal to deliver a best-in-class experience for our members, providers and plan sponsors. This leadership role has a broad technical portfolio of data, analytics, software and machine learning assets that ensure our teams are able to build and deploy intelligence at scale across batch and real-time use cases. As the healthcare landscape evolves and changes, our team’s work is a crucial part of the overall CVS Health mission: transforming care to drive superior health outcomes and a seamless patient and consumer experience. Responsibilities Technical oversight: Design and oversee the build‑out and operations of complex distributed systems at scale in a fast‑paced analytics organization. Engineering leadership: Technically direct, support, and evaluate data, software, and ML engineers and their work product, ensuring best‑in‑class solutions that can scale to meet future non‑functional requirements. System performance: Monitor and optimize both team and system performance, identifying opportunities for enhancement and addressing any issues or bottlenecks. Establish KPIs and OKRs that unlock quantitative insight. Talent management: Recruit, manage, mentor, and retain a high‑performing engineering team while fostering a positive and supportive culture, encouraging innovation and continuous improvement. End‑to‑end ownership: Lead teams from strategy through delivery in complex and highly visible engineering projects. Prioritization and pivots: Guide the team’s work prioritization in alignment with strategic objectives, coaching implementation teams through pivots while staying focused on the overall objective. Cross‑functional collaboration: Collaborate closely with engineering, platform, infrastructure, security, governance and other technical teams to develop solutions that meet appropriate guidelines. Coalition building: Establish effective relationships with partners and customers, understanding their vision and helping deliver on their goals. Risk management: Proactively identify, communicate, and mitigate internal and external risks; communicate progress and challenges to senior management and stakeholders. The big picture: Understand how data, data science, and AI/ML can drive clinical and healthcare delivery strategies; build partnerships that enable business innovation through data and analytics. Staying current: Stay updated on industry trends, emerging technologies, and best practices in software development, analytics, data engineering, and machine learning to drive innovation and efficiency. Required Qualifications 10+ years as a hands‑on software development engineer. 5+ years designing and building high‑volume distributed software systems. 5+ years recruiting, managing, and retaining a high‑performing team of software development professionals in an agile environment. 2+ years developing containerized software applications in public cloud. 2+ years exposure to analytics, data engineering and machine learning lifecycle, tools, and best practices. 2+ years designing, building, and operating real‑time streaming systems and associated system‑building blocks (messaging, caching, etc.). 1+ year managing engineering managers. 1+ year using generative AI as an integrated component in software solutions. 1+ year in the healthcare or health insurance industry with deep understanding of the health care value chain. Preferred Qualifications Strong experience in web services, microservice and service‑oriented architectures. Expertise in Python, Java, Go, .NET or other similar programming languages. Expertise in SQL, relational database management systems, and non‑relational or no‑SQL database management systems. Ability to diagram complex software architectures and communicate complex engineering ideas to non‑technical stakeholders both visually and verbally. Expertise in relationship management for both technical and non‑technical customers and stakeholders. Strong understanding of cloud‑based technologies (GCP, Azure, AWS), engineering frameworks and tools. Experience delivering in Agile, SAFE, Kanban, and Lean practices. Experience in data strategy, data architecture, cloud software engineering design patterns, data science & machine learning methodologies, systems integrations, analytics/BI program management (SQL, Python, R, Java). Understanding and familiarity with CI/CD, cloud devops, containers (kubernetes/Docker, etc.), Python/PySpark, dataproc, dataflow, pub/sub, and other GCP managed services. Education Bachelor’s degree in a software discipline, or equivalent work experience. Master’s degree preferred. Pay Range Typical pay range: $144,200.00 – $288,400.00. The actual base salary will depend on experience, education, geography and other relevant factors. Eligible for bonus, commission or short‑term incentive programs and equity award program. Benefits Comprehensive benefits package including medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources based on eligibility. EEO Statement Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr 9025 CVS Shared Services Resources LLC