• Lead the technical execution of NCHS visualization and solutions development tasks, overseeing the full development lifecycle from requirements gathering to deployment and documentation.
• Make strategic decisions on visualization tool selection (e.g., Tableau, Power BI, R/Shiny, Python/Dash, D3.js) and architect/build/maintain a reusable component library for NCHS.
• Develop and maintain automated data validation scripts to ensure compliance with statistical accuracy and suppression logic.
• Translate requirements between statisticians and developers by producing implementable specifications, including data models, query patterns, suppression logic rules, and annotated wireframes.
• Conduct and oversee Section 508/WCAG accessibility testing using automated and manual screen reader tools in coordination with project management methodology.
• Provide technical guidance on data architecture, technology risk assessment, and enterprise architecture artifacts, including process and data-flow diagrams.
• Support Adobe Analytics administration and reporting as needed.
• Collaborate closely with Data Engineers and PMs to ensure compliance with federal statistical agency standards and protected data requirements.

Requirements

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
• 7+ years of data visualization development experience in federal agencies or compliance-driven environments
• Advanced proficiency in at least three of the following: Tableau, Power BI, R (ggplot2/Shiny/R Markdown), Python (plotly/Dash/pandas/matplotlib), D3.js, with working proficiency in the remaining tools
• Experience serving as technical lead for end-to-end data visualization development, including requirements, preprocessing, design, build, review, accessibility testing, deployment, and documentation
• Experience presenting statistical data, including confidence intervals, weighted estimates, and suppression rules
• Experience conducting Section 508 / WCAG 2.0 Level AA accessibility testing using automated tools (axe or WAVE) and manual screen reader testing (JAWS or NVDA)
• Proficiency with Git for code reviews and embedded documentation, and SQL for analytics/visualization data needs
• Experience translating requirements between statisticians and developers by producing implementable specifications (data models, query patterns, annotated wireframes)
• Experience administering and reporting with Adobe Analytics or equivalent digital analytics platforms
• Active Tier 4 / High Risk Public Trust (Level 6+) clearance at time of proposal submission and eligibility for HSPD-12/PIV credentialing
• Currently located in the United States and able to overlap core working hours in Eastern Time

Preferred Qualifications:

• Master’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
• Experience with NCHS, CDC, or federal statistical data environments
• Experience applying machine learning techniques to analysis or visualization tasks
• Familiarity with HHS EPLC or equivalent federal project lifecycle methodologies