What are the responsibilities and job description for the Sr Data Governance - Full Time position at Saransh Inc?
Position: Sr Data Governance Consultant
Location: Jersey City, NJ (Onsite from Day 1)
Job Type: Full Time
Job 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
If having exp with these, they are strong indicators:
Location: Jersey City, NJ (Onsite from Day 1)
Job Type: Full Time
Job Description
- 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.
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)
- 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.
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