Lead Director - Software Engineering; HealthPlatform

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.

Health
100 is America's trusted front door to health and care. The Health
100 platform integrates any participating health plan, PBM, pharmacy (retail and specialty), provider, digital health point solution provider, and employer, and addresses the top health care challenges for the consumer.

• Define and drive multi-team product and technical roadmaps spanning cross-platform app development, platform APIs, and AI agent capabilities.
• Set architectural direction on modern topics - multi-agent orchestration (supervisor/sub-agent, agent-to-agent), tool/data integration via protocols like MCP, RAG pipelines, and LLM infrastructure (hosted vs. open-source, on-device models) - alongside traditional distributed systems investments.
• Align engineering investment across backend, mobile/web, and AI/ML disciplines with business outcomes.

• Establish scalable engineering standards and operational frameworks across full-stack app development and AI agent systems.
• Build risk management practices that account for AI-specific concerns - model drift, hallucination/safety guardrails, data privacy, prompt injection, and agent routing accuracy - alongside standard reliability and quality practices.
• Drive observability and evaluation practices for both traditional systems (uptime, latency) and AI agents (accuracy, cost per interaction, tracing, evals).

• Lead, mentor, and grow engineering managers and senior engineers across backend, cross-platform app, and applied AI/agent disciplines.
• Own hiring, performance management, career development, and succession planning, building fluency in AI-assisted and agentic development practices across the org.
• Foster a culture of accountability and high performance amid fast-evolving tooling and standards.

• Partner closely with Product, Business, Architecture, Design, Security, and executive leaders to translate strategy - including AI/agent strategy - into executable programs with clear milestones and measurable outcomes.
• Communicate complex technical and AI architecture clearly to both technical and non-technical audiences, using diagrams and visual storytelling where helpful.

• Manage vendor and contingent workforce strategies while leading technology research and innovation across AI/agents, cloud, cross-platform app frameworks, and distributed systems to inform long-term platform investments.
• Stay ahead of emerging standards (MCP, agent-to-agent protocols, new app frameworks) and bring them into the roadmap where they create real consumer or engineering value.

• 12+ years of software engineering experience, including 5+ years leading managers and senior engineers in Agile, cloud-native environments.
• Proven delivery of large-scale, multi-team engineering programs spanning backend platforms, native Mobile and cross-platform apps (e.g., Flutter, React Native, or similar), and increasing AI-driven features - owning strategy through execution in fast-paced digital or healthcare technology organizations.
• Strong technical depth in distributed systems and cloud-native architectures, including microservices (Java/Spring Boot, Python), Dev Ops (CI/CD, Kubernetes/Docker), and cloud platforms (GCP preferred).
• Demonstrated success building and scaling high-performing engineering organizations, including distributed teams (onshore/offshore/nearshore) and vendor partnerships.
• Executive-level communication and influence skills, with hands‑on or applied experience (1+ year) delivering AI-enabled or generative AI-integrated software -…