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# Sr Data Governance - Full Time

- **Company:** Saransh Inc
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Agile Methodology, Apache HTTP Server, JIRA, Data Governance, Data Profiling, Metadata, Meta-Data Management, Scrum Methodology, Systems Development Life Cycle, Software Engineering, SQL Databases, Tableau (Software), Talend, Data Lineage, Collibra
- **Published:** July 15, 2026
- **Apply:** https://www.careerjet.com/jobad/usb485ce5d8c5224de6fa3fff911869e6b

## About the Role

* Must have a minimum of 8+ years of experience in Design, Development & implementation experience in Data Governance
 * Must have worked in Agile development environment and familiar with Software Development Lifecycle, Agile/Scrum process.
 * Assess current lineage, metadata, and data quality practices
 * Perform sample attribute-level lineage analysis
 * Identify gaps in lineage coverage and automation
 * Profile data quality issues (accuracy, completeness)
 * Define DQ rules, KPIs, and monitoring approach
 * Recommend metadata/catalog strategy
 * Define standards for lineage, glossary, and DQ.

## Description

This is primarily a Data Governance Consultant / Data Governance Analyst role with strong focus on Data Lineage, Metadata Management, and Data Quality Governance.
Recommended Job Titles
Senior Data Governance Consultant
Data Governance Lead
Data Governance Analyst
Data Governance & Data Quality Consultant
Metadata & Data Lineage Specialist
Data Governance SME (Lineage & Data Quality)
Core Skills Required:
Data Governance
Data Lineage (Attribute-Level Lineage)
Metadata Management
Data Catalog Strategy
Data Quality Frameworks
Data Quality Rules & KPIs
Data Profiling
Business Glossary Management
Data Governance Standards & Policies
SQL
Tableau
JIRA
Agile / Scrum
SDLC, Assess current-state data lineage, metadata, and data quality processes.
Perform attribute-level lineage analysis across critical data elements.
Identify gaps in lineage coverage and recommend automation opportunities.
Profile data quality issues and perform root-cause analysis.
Define and implement data quality rules, metrics, and monitoring frameworks.
Develop metadata management and data catalog strategies.
Establish governance standards for lineage, business glossary, and data quality.
Collaborate with business and technical stakeholders in an Agile environment.
Good-to-Have Tools:
If having exp with these, they are strong indicators:
Collibra
Alation
Informatica Data Governance
Informatica EDC
Microsoft Purview
Atlan
Apache Atlas
Talend Data Quality
IBM Information Governance Catalog


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