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# Data Quality and Responsible AI Specialist

- **Company:** JSR Tech Consulting
- **Location:** Newark, NJ, United States
- **Experience:** Expert
- **Salary:** $114,400.0 - $128,960.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Profiling, Cyber Security, Continuous Integration, Data Architecture, Data Governance, Metadata, Model Validation, Generative AI, Agentic-AI, Data Layers, Machine Learning Operations
- **Published:** October 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/6a5a14e6-0408-4a5e-8e75-4b73c54288c3/data-quality-and-responsible-ai-governance-specialist

## About the Role

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 * Strong experience in enterprise data quality, data governance, data management, data architecture, technology controls, or Responsible AI operations
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 * Strong understanding of enterprise data architecture, data products, data contracts, metadata, lineage, semantic layers, and governed lakehouse or cloud platforms
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 * Hands-on experience designing conceptual, logical, physical, canonical, dimensional, and semantic data models
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 * Hands-on knowledge of data quality frameworks: rule design, profiling, thresholds, observability, reconciliation, anomaly detection, and scorecards
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 * Ability to connect data quality outcomes to Responsible AI needs such as traceability, data suitability, bias and proxy risk, and privacy constraints
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 * Experience embedding controls into pipelines, workflows, metadata systems, or CI/CD processes
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 * Familiarity with AI/ML, generative AI, agentic AI, model lifecycle management, model registries, and production release controls
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 * Ability to map policy and regulatory expectations into practical requirements, testing procedures, and evidence
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 * Experience working with risk, compliance, legal, privacy, information security, model risk, and internal audit partners
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 * Ability to build metrics and dashboards on control coverage, effectiveness, exceptions, and remediation
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 * Excellent written and verbal communication skills, including with executives
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 * Strong execution and leadership skills, including backlog management, stakeholder alignment, and delivery against milestones
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