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# AI Data Modernization SME

- **Company:** Blu Omega
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Architecture, Data Governance, Data Transformation, Data Sharing, Electronic Data Interchange (EDI), R (Programming Language), Interoperability, Python (Programming Language), Machine Learning, Power BI, Generative AI, Information Technology, Data Management, Databricks
- **Published:** October 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=58307d11cddc0ba1

## About the Role

* Bachelor's degree in Data Science, Computer Science, Public Health Informatics, or related field.
 * 10+ years of experience in data management, analytics, or digital transformation.
 * 5+ years supporting AI, machine learning, or data modernization initiatives.
 * Experience supporting federal, state, local, tribal, or public health organizations preferred.
 * Deep knowledge of AI/GenAI, data governance, public health informatics, and interoperability standards.
 * Technical skills in cloud platforms, data architectures, Python, R, Power BI, Databricks, and APIs.

## Description

Blu Omega is seeking an AI Data Modernization Subject Matter Expert to support the CDC-funded Public Health Data Modernization Initiative. This role is responsible for guiding organizations in data ecosystem modernization, AI strategy, and responsible data practices within supported public health programs., The CDC supports modernization of public health data exchange and interoperability to enhance health data sharing and analytics., * Serve as a trusted advisor to public health agencies and Tribal organizations on AI and data modernization strategies.

 * Conduct AI readiness assessments and develop roadmaps aligned with organizational and public health goals.
 * Assess current data ecosystems and advise on future-state architectures, cloud platforms, and data management approaches.
 * Design and implement analytics frameworks, dashboards, and models utilizing statistical, predictive, and generative AI techniques.
 * Establish governance frameworks supporting ethical, secure, and compliant data and AI use.
 * Advise on data standards, interoperability frameworks, and data-sharing strategies across agencies.
 * Facilitate workshops, strategy sessions, and executive briefings to promote AI adoption and organizational understanding.