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Sr Data Governance - Full Time

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Onsite

Sr Data Governance - Full Time

Saransh Inc

Sr Data Governance - Full Time

Skills

SQL QueriesTableauJiraTalend

3 months ago

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Important information


Contract type:

Permanent

Location:

Jersey City, NJ, USA

Work mode:

Onsite

Published on:

8 August 2026

What they need


Position: Sr Data Governance Consultant 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.

Note 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

Key Responsibilities

  • 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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