Director data science

Primary Responsibilities:
Engineering Leadership
- Lead multiple AI/ML engineering teams in developing scalable ML models, LLM-based solutions, and intelligent automation capabilities across business domains.
- Drive end‑to‑end delivery of AI products, from ideation through productionization, leveraging modern ML Ops practices at scale.
- Partner with cross-functional teams to determine applicability of AI to business problems
- Mentor data scientists, AI/ML scientists, and engineers to ensure the delivery of the AI/ML projects, and provide guidance on how to best use specific tools or technologies to achieve the desired results
- Build and grow a high-performing AI/ML engineering team with roles spanning ML engineers, data engineers, AI architects, and applied scientists.
Technical Leadership
- Develop and evolve machine-learning methods by adapting model architectures, learning objectives, and feature representations to healthcare-specific data, constraints, a...