AI Data Analyst
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Job Location:
Columbus, NE - USA
Monthly Salary:
Not Disclosed
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking an AI Data Analyst focused on Data Governance to support AI engineering initiatives by ensuring compliant secure and ethical use of data across AI systems. This role bridges governance and AI delivery helping establish data quality lineage metadata and regulatory alignment for modern AI platforms including RAG-based systems. The role is onsite preferably in Columbus OH but open to Chantilly / Crystal City VA.
Key Responsibilities
Define and enforce data governance policies for AI models and pipelines in partnership with engineering teams.
Implement data quality lineage and classification frameworks supporting training and inference workflows.
Ensure compliance with standards such as NIST AI RMF ISO/IEC 42001 GDPR CMMC DFARS and internal policies.
Develop and maintain metadata strategies including embeddings and vector store governance for RAG architectures.
Partner with security and compliance teams on risk assessments for AI data usage and model outputs.
Support responsible AI practices including bias detection transparency and explainability.
Guide data retention lifecycle management and secure handling of sensitive data (PII CUI).
Required Skills & Qualifications
Bachelors or Masters degree in Data Science Information Governance Computer Science or related field.
Strong understanding of data governance principles AI/ML workflows and cloud environments (Azure preferred).
Experience with Microsoft Purview Power Platform or similar governance platforms.
Familiarity with AI model lifecycle training data preparation embeddings and RAG strategies.
Knowledge of regulatory compliance (DFARS CMMC ITAR FedRAMP) and ethical AI standards.
Excellent communication skills to translate technical requirements into clear governance policies.
Preferred / Nice to Have
Hands-on experience with Azure AI Foundry or Copilot Studio.
Experience with sensitivity labels DLP and data security controls.
Background working cross-functionally with engineering compliance and business stakeholders.
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
