Lead Director, Software Development Engineering (Healthcare Delivery, Distributed Systems, GCP)

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Position Summary

Our Healthcare Delivery Analytics Engineering team within the Analytics & Behavior Change (A&BC) 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 want to join a high-energy, growing team dedicated to making a difference in the lives of the patients being served by CVS Health businesses like MinuteClinic, Oak Street Health, and Signify Health. 

This leadership role is at the forefront of AI innovation within healthcare, reinventing how we use data, analytics, and machine learning to ensure that the people who trust CVS Health with their care are supported across their healthcare journey by care teams armed with world-class diagnostic & analytics tooling.  Our team’s work is crucial to the mission of CVS Health: a fully integrated care delivery ecosystem utilizing digital, community, home-based and traditional channels, 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 complex distributed systems 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 distributed system design.  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 incredibly complex problems, and then call out when we need to pivot towards scaling execution across the lives of millions.  You encourage the team and champion the delivery of the right software at the right time, ensuring that we maximize our impact.

Responsibilities:

• 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 ext