Data governance Lead

Artificial Intelligence Technologies LLC; Weehawken (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Artifintech is seeking an experienced Data Governance Lead to establish and enforce data governance, lineage, and metadata management across the organization. The role focuses on ensuring traceability, data quality, and alignment with analytics, reporting, and AI initiatives.

You will define governance frameworks, steward data ownership, and collaborate with business and technical teams to implement scalable catalogs and controls.

Qualifications

• Experience designing and implementing data governance programs.
• Strong knowledge of data lineage and traceability.
• Proficiency in metadata management practices.
• Ability to ensure data quality and governance across domains.
• Experience supporting regulatory compliance and audits.
• Collaborates with business and tech teams.

Responsibilities

• Develop and maintain end-to-end data lineage and cataloging.
• Establish governance frameworks and data stewardship roles.
• Define data quality metrics and remediation processes.
• Automate lineage capture and visualize data flows.
• Support analytics, reporting, and AI initiatives.
• Collaborate with business and technical stakeholders.
• Ensure compliance with regulatory audits.

Skills

Data Governance

Data Management

Data Lineage

Metadata Management

Data Quality

Regulatory Compliance

Data Stewardship

Analytics & Data Architecture

Audit & Controls

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Summary

Seeking an experienced Data Governance Lead with expertise in Data Lineage, Metadata Management, and Data Catalog. Responsible for establishing data governance frameworks, ensuring data traceability, and supporting analytics, reporting, AI, and regulatory compliance.

Required Skills

• Data Governance and Data Management
• Data Lineage and Traceability
• Metadata Management
• Data Quality Management
• Business and Technical Metadata
• Data Governance Frameworks
• Data Stewardship and Ownership
• Regulatory Compliance and Audit
• Data Architecture and Analytics

• Develop and maintain end-to-end data lineage.
• Implement metadata management standards.
• Identify and track critical data elements.
• Automate data lineage capture and visualization.
• Ensure data accuracy, quality, and traceability.
• Support regulatory and audit requirements.
• Collaborate with business and technical teams.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.