Senior Data Quality & Responsible AI Governance Lead

JSR Tech Consulting; Newark (NJ); On-site; USD 157,597,000 - 177,655,000; Full time

Job summary

JSR Tech Consulting is seeking a Data Quality and Responsible AI Specialist to lead enterprise data quality and AI governance initiatives in an onsite Newark environment. You will implement controls across data sources, pipelines, and AI use cases, ensuring data readiness and regulatory alignment.

The role requires experience embedding governance into data workflows, defining AI-ready data thresholds, and delivering audit-ready evidence.

Qualifications

• Minimum 5+ years in data quality, governance, or Responsible AI operations.
• Experience embedding controls into data pipelines and AI data readiness.
• Strong knowledge of data architecture, metadata, lineage, and platform governance.

Responsibilities

• Lead enterprise implementation of data quality and AI data readiness controls across data sources and AI use cases.
• Define what AI-ready data means, including quality thresholds, lineage, and access controls.
• Translate Responsible AI requirements into measurable data controls integrated into pipelines and dashboards.
• Collaborate with data architects, engineering, and domain teams to place controls across ingestion, transformation, and publication.
• Model data concepts to support trusted data products and ADS certification.
• Build reusable control patterns, evidence payloads, and implementation guidance.
• Guide teams on DQ rules, thresholds, metrics, and remediation.
• Maintain control libraries for data quality, metadata, lineage, and governance.

Skills

Data quality

Governance

Responsible AI

Data architecture

CI/CD integration

Education

Bachelor's degree in CS/related field

Tools

Ataccama

Informatica

Collibra

Power BI

Job description

JSR Tech Consulting is seeking a Data Quality and Responsible AI Specialist to lead enterprise data quality and AI governance initiatives in an onsite Newark environment. You will implement controls across data sources, pipelines, and AI use cases, ensuring data readiness and regulatory alignment.

The role requires experience embedding governance into data workflows, defining AI-ready data thresholds, and delivering audit-ready evidence.