Key skills
AI-assisted engineeringClaude CodeAgentic development workflowsEnterprise integrationAPIsHL7FHIREDI/X12Epic ecosystemDatabricksSnowflakeUtilization ManagementCare ManagementHEDISSTAR RatingsValue-Based CareMulti-vendor delivery environmentsExecutive-level communicationAIClaudeAgenticAWSAzureGCPSDLCLeadershipCommunication
About this role
Humana is a leading U.S. healthcare company at the forefront of a technology shift in healthcare. They are seeking a Director of Engineering to lead the AI-first transformation of their clinical technology organization, focusing on integrating AI-assisted engineering and modern data platforms into healthcare systems.
Responsibilities:
- Lead and scale an engineering organization responsible for enterprise integrations, clinical data platforms, and payer/provider interoperability (APIs, HL7, FHIR, EDI/X12, Epic ecosystem)
- Own the AI-first engineering agenda: drive adoption of AI-assisted development (e.g., Claude Code), agentic workflows, and automation across the SDLC — from requirements to testing to production support
- Provide technical and delivery leadership across Epic Tapestry (UM) and Compass Rose (CM) integration programs, partnering with a multi-vendor ecosystem (Deloitte, Wipro, Rackspace, Sagility) to hold delivery accountable
- Drive architecture and delivery for clinical and healthcare data platforms using Databricks and Snowflake
- Champion measurable 'Return on AI Investment' (ROAI) — identifying and scaling use cases where AI materially compresses delivery timelines, testing cycles, and operational cost
- Partner with clinical, product, and compliance leaders to translate healthcare operations — Utilization Management, Care Management, HEDIS, STAR Ratings, and Value-Based Care — into scalable, AI-enabled technical solutions
- Build, mentor, and grow a high-performing engineering team, instilling an AI-first mindset and modern engineering culture as a durable capability, not a one-time initiative
- Represent engineering in executive and board-level conversations on technology transformation, delivery risk, and AI strategy
Requirements:
- 10+ years of engineering leadership experience, with significant time in healthcare technology (payer, provider, or health tech environments)
- Demonstrated experience leading AI-first or AI-assisted engineering transformation — adoption of tools like Claude Code, Copilot, or comparable agentic/AI development platforms at team or org scale
- Strong technical foundation in enterprise integration and interoperability: APIs, HL7, FHIR, EDI/X12
- Experience with modern cloud data platforms (Databricks, Snowflake, or equivalent)
- Proven experience supporting payer or clinical operations — UM, CM, HEDIS, STAR Ratings, or Value-Based Care
- Track record of leading engineering teams through large-scale platform transformation, including multi-vendor delivery environments
- Executive-level communication skills — able to translate technical delivery into business and clinical outcomes for senior leadership
- Direct experience with Epic Tapestry and/or Compass Rose
- Experience with Medicare Advantage, commercial payer, or Value-Based Care environments
- Cloud platform certification or deep hands-on experience (Azure, AWS, or GCP)
- Experience standing up or scaling an AI Center of Excellence, AI governance framework, or enterprise AI adoption program
- Background leading teams through regulatory-driven transformation (e.g., CMS interoperability mandates)