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Director, Engineering - AI-First Healthcare Transformation

Sita CorpUnited States🇺🇸United StatesPosted 27 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Leader

Job Description

Job Title: Director, Engineering - AI-First Healthcare Transformation

Job Type: Full Time

Work Style: This position's work style is remote from any of the locations listed below. You must reside in close proximity to one of these locations.

Market Location Options:

  • Louisville, KY
  • Dallas/Frisco, TX
  • Washington, DC (Arlington, VA)
  • Chicago, IL
  • Fort Lauderdale, FL
  • Tampa, FL
  • New York, NY
  • Boston, MA
  • Atlanta, GA
  • Nashville, TN
  • Charlotte, NC

Required 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.

Preferred Qualifications

  • 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 Google Cloud Platform).
  • 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).

Skills

AWS
Snowflake
Azure
Databricks
Google Cloud

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