Corporate Director, Data Science & AI Engineering

About the Company

The organization is Georgia's most comprehensive academic health system, focused on advancing healthcare through AI-powered data solutions. It addresses challenges in healthcare data management and analytics by modernizing its enterprise data platform using Microsoft Fabric and scaling AI capabilities across clinical, research, and operational domains. This initiative aims to improve patient outcomes and institutional performance through the application of advanced machine learning, generative AI, and large-scale analytics.

About the Rol

eThe Corporate Director, Data Science & AI Engineering will lead the integration of AI and machine learning within the health system by bridging enterprise strategy with AI/ML execution. This role directs data science vision, manages a multidisciplinary team, and oversees the development and deployment of AI frameworks and models. The position is crucial for driving AI innovations that impact clinical and operational effectiveness and translates complex analytics into actionable strategies at the leadership level

.
Responsibiliti

• esProvide strategic direction for the design, deployment, and lifecycle management of ML and AI models across clinical and operational are
• asEstablish and mature MLOps and LLMOps practices including model versioning, monitoring, drift detection, and ethical AI guardrai
• lsLead integration of generative AI and large language model capabilities into workflows, ensuring safe and governed deployme
• ntPartner with data and IT leaders to build scalable, cloud-native ML infrastructure on Microsoft Fabric and Azu
• reCollaborate with data strategy and governance leaders to align stakeholder needs with institution-wide AI mode
• lsIdentify and address data shortcomings, standardize definitions, and reduce reporting redundanci
• esDrive advanced analytics initiatives such as predictive modeling, NLP, and population health analytics to inform strategic decisio
• nsDesign and implement data and AI governance policies, data quality frameworks, and standar
• dsManage data lifecycle processes including ingestion, transformation, quality assurance, archiving, and retenti
• onEnsure compliance with data privacy and ethical AI practices in collaboration with legal and IT tea
• msLead modernization of shared data management and analytics architecture using Fabric-based infrastructu
• reRecruit, develop, and lead a team of AI engineers and data scientis
• tsFoster partnerships with academic, research, and IT groups to advance AI and data initiativ
• esCollaborate with external organizations to enhance analytics capabilities through third-party da
• taPresent complex data insights and AI strategy to senior leadership and clinical decision-make

rs
Requireme

• ntsMaster's degree in Data Science, Computer Science, Statistics, Engineering, or related quantitative field; PhD strongly prefer
• redOver 10 years of experience in data science, advanced analytics, or AI/ML leadership, including at least 3 years managing technical te
• amsExpertise in machine learning lifecycle management (MLOps) including model development, deployment, monitoring, and governance at sc
• aleHands-on experience with cloud-native data platforms such as Microsoft Fabric, Azure ML, or equivalent lakehouse/warehouse architectu
• resProficiency in business intelligence and data visualization tools, notably Power

BI
Compensa

tionCompensation will be determined based on the candidate's experience, skills, and other relevant fact

ors.
Benefits &

• PerksComprehensive health benefits starting da
• y oneStudent Loan Repayment Assistance and Reimbursement Pro
• gramsFamily-focused ben
• efitsWellness incen
• tivesOngoing mentorship, development, and leadership pro

grams
Equal Opportunity Sta

tementOur client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national o

rigin.
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