Corporate Director, Data Science & AI Engineering

AI & Machine Learning Operations:

• Provide strategic direction for the design, deployment, and lifecycle management of ML and AI models across clinical and operational use cases.
• Establish and mature MLOps and LLMOps practices — including model versioning, monitoring, drift detection, and responsible AI guardrails.
• Champion the integration of Generative AI and large language model (LLM) capabilities into EHC workflows.

Data & Advanced Analytics Strategy:

• Collaborate with the Corp Director AI Strategy, Corp Director Data Engineering, and Data & AI Governance Manager to obtain a deep understanding of stakeholder data needs.
• Drive advanced analytics initiatives — including predictive modeling, NLP, and population health analytics — that directly inform strategic fundraising, clinical operations, and resource planning.
• Proactively mine all data sources for untapped opportunities; surface patterns through data modeling that enhance EHC's Digital Data & Analytics roadmap.

Team Leadership & Cross-Functional Collaboration:

• Recruit, develop, and lead a high-performing team of AI Engineers and Data Scientists within the CDAO and CAIO Offices.
• Cultivate collegial partnerships with Emory University research, IT, and academic groups to build consensus and drive shared AI/data initiatives.
• Collaborate with external organizations to source and leverage third-party data assets that augment institutional analytics capabilities.