Senior Data Management and Analytics Specialist

• Provide senior data management and analytic support for Foundational Data/1CDP and other CDC Data Hub data assets.
• Support management and stewardship of population and community data, including demographic, Census, geographic/geospatial, social, environmental, and other foundational data assets.
• Support healthcare and other complex data assets used for CDC scientific, surveillance, research, and analytic activities.
• Assess data structure, quality, completeness, limitations, fitness for use, and analytical readiness and advise CDC users on appropriate use and interpretation.
• Support the full data lifecycle, including ingestion, validation, quality control, release/version management, documentation, dissemination, maintenance, and archival.
• Develop and maintain data extracts, transformations, reusable analytic assets, standardized core tables, reference data, and other foundational components supporting shared CDC use cases.
• Support development, maintenance, and documentation of 1CDP ontology objects, data products, bundles, metadata, and Marketplace resources, including interoperability and appropriate version management.
• Conduct data analysis, validation, and quality-control activities using Databricks, Python, R, SQL, SAS, Spark, or other CDC-approved tools.
• Collaborate with CDC scientists and analysts on data preparation, exploratory analyses, analytic implementation, validation, and interpretation.
• Develop and maintain reusable code, QC scripts, technical documentation, data dictionaries, metadata, SOPs, and data management documentation.
• Collaborate with engineering teams to address data pipeline, transformation, dependency, and production-readiness issues.
• Serve as a liaison among CDC program staff, scientists, analysts, engineers, and other stakeholders to translate scientific and program needs into usable, well-managed data resources.
• Provide technical assistance, demonstrations, and knowledge sharing to help CDC users understand and effectively use Foundational Data, analytic tools, platforms, and workflows.
• Promote reproducible, standardized, and reusable approaches to data management and analytics across ADB.

• MPH in Epidemiology or a closely related field.
• 5+ years of progressively responsible experience relevant professional experience supporting data management, public health analytics, epidemiology, health data science, or related work.
• Experience with 1CDP/Palantir Foundry, Databricks, Microsoft Azure, or comparable cloud-based data and analytics platforms.
• Demonstrated experience managing and analyzing large, complex public health, healthcare, population, or community datasets.
• Experience with Python, SQL, R, SAS, or comparable analytical/programming tools.
• Experience performing data quality assessment, validation, transformation, documentation, and analytic preparation.
• Experience translating scientific or programmatic requirements into data management and analytic solutions.
• Knowledge of data stewardship, governance, metadata, lineage, versioning, data quality, and reproducible analytical practices.
• Ability to obtain and maintain the required Federal Public Trust., * Experience supporting CDC, HHS, or another Federal public health organization.
• Experience managing or analyzing Census, demographic, geospatial, social determinants of health, environmental, population, or other foundational datasets.
• Experience with large healthcare datasets such as EHR, claims, laboratory, pharmacy, hospital, or other licensed healthcare data.
• Experience developing reusable data products, standardized data assets, ontology objects, or data marketplace resources.
• Experience supporting scientific studies, analytic products, reports, presentations, or publications.
• Familiarity with interoperability, common data structures, healthcare terminology, or public health data standards.
• Ability to work across scientific, analytic, data management, and technical teams and communicate effectively with both technical and nontechnical stakeholders.

• Strong analytical, organizational, documentation, and problem-solving skills.

• This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.