Director, Engineering - AI-First Healthcare Transformation

About the role

Become a part of our caring community Healthcare is entering the most consequential technology shift of the next decade — and Humana is at the center of it. We're seeking a Director of Engineering to lead the AI-first transformation of our clinical technology organization, embedding AI-assisted engineering, agentic workflows, and modern data platforms directly into how we build, test, and deliver enterprise 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.

Qualifications

• 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.