Teams at GAP Solutions, Inc.

Translates stakeholder and mission needs into product requirements, user stories, and acceptance criteria. Collaborates with engineering, architecture, UX, and product teams in an agile environment; validates AI-generated code and outputs; establishes constraints for AI-assisted development workflows; identifies automation opportunities; and supports rapid product iteration and emerging technology integration.

Supports CDC foundational and healthcare data assets across their full lifecycle, including ingestion, validation, quality control, transformation, documentation, versioning, dissemination, and archival. Evaluates data quality, analytical readiness, and fitness for use; develops reusable data products, metadata, ontology objects, extracts, and analytic assets. Performs analysis using Python, R, SQL, SAS, Spark, and Databricks; collaborates with scientists, analysts, engineers, and program staff; and provides technical assistance promoting reproducible, standardized data management practices.

Manages CDC public health data assets across ingestion, quality assurance, transformation, versioning, publication, maintenance, and archival. Develops data extracts and scripts using Python, SQL, R, SAS, or similar tools; supports pipelines, lineage, metadata, governance, documentation, and production readiness. Collaborates with CDC staff, engineers, vendors, and analysts to resolve data issues, respond to inquiries, maintain data products, and improve data management processes.