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.

As a Lead Director, you will be responsible for guiding teams as they build best-in-class applications that integrate advanced analytics capabilities (predictive models, LLMs, vector search) into applications and data products built within the Google Cloud Platform. You will develop the strategies and tactics that we use on the path to delivering cutting‑edge products, leveraging your expertise in engineering management, software architecture, and agile development life cycles.

As you join a high‑caliber group of engineering leaders dedicated to delivering impact quickly while ensuring our technical assets and architecture are constantly maturing, your experience, instincts, and insights will enable us to iterate quickly while we explore bold technical solutions to complex problems. You encourage the team and champion the delivery of the right software at the right time, ensuring that we maximize our impact.

• Technical oversight: Technical leader capable of designing and overseeing the build‑out and operations of complex distributed systems at scale in a fast‑paced analytics organization
• Engineering leadership: Able to technically direct, support, and evaluate data, software, and ML engineers and their work product, ensuring we are building best‑in‑class solutions that can scale to meet our future non‑functional requirements
• System performance: Monitor and optimize both team & system performance, identifying opportunities for enhancement and addressing any issues or bottlenecks. Establish KPIs and OKRs that unlock quantitative insight so we can change processes with confidence.
• Talent management: Recruit, manage, mentor, and retain a high‑performing engineering team while contributing to a positive and supportive culture, encouraging innovation, and driving a pragmatic balance of continuous improvement and effective value delivery.
• End‑to‑end ownership: Lead teams from strategy through delivery in complex and highly visible engineering projects.
• Prioritization and pivots: Guides team's work prioritization in alignment with our strategic objectives. Coach implementation teams through pivoting as needed while remaining steadfastly focused on the overall objective.
• Cross‑functional collaboration: Collaborate closely with other technical teams (engineering, platform, infrastructure, security, governance) to understand their expectations and develop solutions in accordance with appropriate guidelines.
• Coalition building: Establish effective relationships with partners and customers, ensuring that you understand their vision and can help them deliver on their goals.
• Risk management: Proactively identify, communicate, and mitigate both internal and external risks. Communicate clearly on progress, challenges,…