
1 - 10 employees
Founded 2023
🔒 Cybersecurity
🎯 Recruiter
🏛️ Government
Cybersecurity • Recruitment • Government
Air InfoSec is a cybersecurity firm that secures critical IT and cloud systems and provides elite cleared cybersecurity talent. It delivers end-to-end services including infrastructure and cloud security, penetration testing and red team operations, incident response and digital forensics, threat hunting, and governance, risk & compliance consulting. Air InfoSec also offers recruiting, staffing, and talent-sourcing for cleared and certified professionals to support permanent, contract, and project-based cybersecurity needs, emphasizing disciplined, military-background teams for government and enterprise clients.
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1 - 10 employees
Founded 2023
🔒 Cybersecurity
🎯 Recruiter
🏛️ Government
Cybersecurity • Recruitment • Government
Air InfoSec is a cybersecurity firm that secures critical IT and cloud systems and provides elite cleared cybersecurity talent. It delivers end-to-end services including infrastructure and cloud security, penetration testing and red team operations, incident response and digital forensics, threat hunting, and governance, risk & compliance consulting. Air InfoSec also offers recruiting, staffing, and talent-sourcing for cleared and certified professionals to support permanent, contract, and project-based cybersecurity needs, emphasizing disciplined, military-background teams for government and enterprise clients.
• Serve as the primary liaison between EIM cataloging and lineage systems and source systems in IT, working with program areas, project sponsors, and subject matter experts. • Automate the regular collection and updates of agency metadata for high-value data assets. • Extract, integrate, and analyze metadata from multiple complex internal and external sources to support HHS program needs. • Collaborate with end-users, performance analysts, and IT leadership to create visualizations that reflect enrichment progress and support official reporting. • Provide subject matter expertise on validating AI-generated output, with particular focus on identifying and mitigating hallucinations. • Develop and conduct training sessions to champion data glossary literacy across the organization for non-technical staff. • Create comprehensive documentation and tutorials on using glossary tools for data synthesis. • Develop and refine effective AI prompts and query strategies to retrieve and synthesize metadata accurately from complex data domains. • Build a library of standardized prompts and query templates to address common reporting needs. • Collaborate with data engineering, IT, and program teams to troubleshoot metadata-related issues and address inconsistencies.
• 8 years of experience gathering business requirements and translating complex metadata acquisitions and operational requirements into clear, actionable access paths for data glossaries in complex analytics environments. • 8 years of experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership. • 8 years of experience in a complex data analysis, senior business/systems analyst, or data liaison role. • 8 years of strong experience with SQL for data extraction, manipulation, and enrichment. • 8 years of experience collaborating with end-users and performance analysts or IT internal leaders to create and validate glossaries for analytics development and business data lineage analysis. • Excellent communication, presentation, and interpersonal skills. • 5 years of experience with Business Intelligence and/or Data Warehouse environments. • 5 years of experience acting as the primary point of contact for program staff with metadata and glossary needs for analytics projects. • 5 years of experience working in a health and human services or similarly regulated environment, with a strong understanding of agency metadata requirements. • 5 years of experience applying data governance and data quality principles. • 5 years of experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC) and Axon Data Governance. • 2 years of experience championing data literacy across an organization. • 2 years of experience training and mentoring staff with varying levels of data literacy. • 1 year of experience with AI prompt development.
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🟡 Mid-level
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