Corporate Director, Data Science & AI Engineering
Share
Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
Overview
Be inspired. Be rewarded. Belong. At Emory Healthcare.
At Emory Healthcare we fuel your professional journey with better benefits valuable resources ongoing mentorshipand leadership programs for all types of jobs and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:
- Comprehensive health benefits that start day 1
- Student Loan Repayment Assistance & Reimbursement Programs
- Family-focused benefits
- Wellness incentives
- Ongoing mentorshipdevelopmentand leadership programs
- And more
Ideally seeking an Atlanta based candidate able to visit our Atlanta based office but may consider remote options in the following locations: applicants residing in or able to relocate to the following states are eligible for hire: Alabama Arkansas Florida Georgia Illinois Louisiana Michigan New Hampshire North Carolina Ohio Pennsylvania South Carolina Tennessee Texas Virginia and Wisconsin
Description
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 in collaboration with AI Engineers.
- Champion the integration of Generative AI and large language model (LLM) capabilities into EHC workflows identifying high-value use cases and ensuring safe governed deployment.
- Partner with the CDAO and CAIO Offices and Emory Digital/OIT to build a scalable cloud-native ML infrastructure on Microsoft Fabric and Azure enabling rapid experimentation and production-grade AI delivery.
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 across the Health System and translate those needs into a cohesive institution-wide executable Data & AI Models.
Catalog existing data shortcomings establish common definitions and lead initiatives to reduce reporting redundancies and increase data access sharing and consumption.
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 EHCs Digital Data & Analytics roadmap.
Design and implement comprehensive data/AI governance policies data quality frameworks and data standards in collaboration with Emory partners.
Own data lifecycle management strategy: ingestion transformation quality archiving and retention across structured and unstructured datasets.
Work with legal compliance and IT to ensure data privacy (HIPAA GDPR) ethical AI use and responsible data stewardship practices are embedded in all programs.
Lead the modernization of shared data management and analytics architecture facilitating joint collaborations that leverage Fabric-based shared infrastructure and resources.
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.
Present complex data findings AI model outputs and strategic recommendations to senior leadership boards and clinical decision-makers with clarity and conviction.
- Masters degree in Data Science Computer Science Statistics Engineering or a related quantitative field; advanced degree (PhD) strongly preferred.
- 10 years of progressive experience in data science advanced analytics or AI/ML leadership with at least 3 years managing technical teams in an enterprise environment.
- Demonstrated expertise in machine learning lifecycle management (MLOps): model development deployment monitoring and governance at scale.
- Hands-on experience with cloud-native data platforms; Microsoft Fabric Azure ML or equivalent modern data lakehouse/warehouse architectures.
- Proficiency in business intelligence and data visualization (Power BI strongly preferred); experience with APIs Python/R and large-scale SQL-based analytics.
- Strong understanding of data governance ethical use of Data/AI and privacy regulations (HIPAA experience is a significant plus).
- Exceptional executive communication skills ability to synthesize technical complexity into strategic narrative for C-suite and Board-level audiences.
- Proven ability to lead cross-functional matrixed teams and collaborate effectively with both business users and technical engineering teams.
- Experience with Generative AI / Large Language Model (LLM) deployment: prompt engineering retrieval-augmented generation (RAG) fine-tuning and LLMOps.
- Background in healthcare or life sciences data including clinical data models (FHIR HL7 OMOP) and EHR analytics.
- Experience with Microsoft Fabric (Lakehouse Warehouse Data Factory Real-Time Intelligence Fabric AI/Copilot) in a production enterprise setting.
- Familiarity with responsible AI frameworks bias detection explainability (XAI) and AI ethics policy development.
- Experience building and scaling data science and ML platforms in regulated or academic health environments.
- Certification in cloud platforms (Azure AWS GCP) data governance frameworks (DAMA-DMBOK) or AI/ML (Google ML AWS ML Specialty etc.).
- Bachelors degree in data science engineering statistics analytics or related areas and ten years of related experience OR an equivalent combination of experience education and training.
- Knowledge about health research and/or academic programs.
- Excellent communication skills and experience presenting findings to decision-makers.
- Ability to collaborate with senior leadership work effectively and independently on multiple priorities with strict deliverable dates.
- Experience working with both business users and technical development teams. Experience with APIs business intelligence and data visualization tools (experience WebGIS RShiny and/or Microsoft Power BI highly preferred).
- Experience with Cloud environment and services.
- Familiarity with data protection and privacy data ethics and data governance issues.
- Strong demonstrated skills in writing and presentation of findings and analyses.
- Experience working with large structured and unstructured datasets and telling a compelling story that tracks to value.
Additional Details
Emory is an equal opportunity employer and qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability protected veteran status or other characteristics protected by state or federal law.
Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcares Human Resources at . Please note that one weeks advance notice is preferred.
Required Experience:
Director
Key Skills
- Go
- Lean
- Management Experience
- React
- Node.js
- Operations Management
- Project Management
- Research & Development
- Software Development
- Team Management
- GraphQL
- Leadership Experience
About Company
"Have a Coke and a smile" means more to Emory University than it does to the rest of the world. The school, which has some 13,300 students and about 12,500 staff and faculty members, has a very low student-teacher ratio of about 7:1. It changed from Emory College to Emory University i ... View more
