Data Governance Analyst

Guddge Tech; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Guddge Tech is seeking an experienced Data Governance Analyst to implement enterprise governance standards, ensuring data quality and compliance across the data landscape. You will collaborate with business stakeholders, data engineering teams, and IT to establish governance processes, metadata maintenance, and data ownership.

The role focuses on enterprise data governance, data quality initiatives, and reporting dashboards across platforms, with emphasis on ensuring consistent data definitions

Qualifications

• 5–10 years in Data Governance or related roles.
• Experience defining data ownership, stewardship, and governance structures.
• Hands-on with metadata, glossaries, dictionaries, and data lineage.
• Knowledge of data classification, privacy, access controls, and regulatory requirements.
• Ability to define data quality rules, KPIs, and remediation tracking.

Responsibilities

• Implement and maintain enterprise data governance frameworks, policies and standards.
• Define data ownership, stewardship, and accountability models.
• Establish business glossaries, data dictionaries, and standardized definitions.
• Ensure consistent data definitions across business functions and IT systems.
• Support governance councils and stakeholder reviews.
• Define data quality rules, validation, and monitoring mechanisms.
• Identify data quality issues and coordinate remediation across teams.
• Maintain data lineage and data catalogs across platforms.
• Prepare governance dashboards and data quality metrics.

Skills

Data governance

Metadata management

Data quality

Data lineage

SQL

Data privacy & compliance

Tools

Collibra

Informatica Axon

Informatica IDQ

Alation

Microsoft Purview

AWS/Azure/Google Cloud

Job description

Role Overview

We are looking for an experienced Data Governance Analyst responsible for implementing and maintaining enterprise data governance standards, ensuring data quality, consistency, accuracy, and compliance across the organization's data landscape. The candidate will work closely with business stakeholders, data engineering teams, data architects, and IT teams to establish governance processes, maintain metadata, define data ownership, and drive data quality initiatives across enterprise data platforms.

Key Responsibilities

Data Governance & Framework Implementation

• Support the implementation and maintenance of enterprise data governance frameworks, policies, standards, and procedures.
• Define and maintain data ownership, data stewardship, and accountability models.
• Establish business glossary, data dictionaries, and standardized business definitions.
• Ensure consistent data definitions and usage across business functions and IT systems.
• Support governance councils, working groups, and stakeholder reviews.

Data Quality Management

• Define and monitor data quality dimensions, including accuracy, completeness, consistency, validity, uniqueness, and timeliness.
• Develop data quality rules, validation criteria, and monitoring mechanisms.
• Identify data quality issues, perform root cause analysis, and coordinate remediation with relevant teams.
• Establish data quality KPIs, scorecards, and periodic reporting.
• Track data quality exceptions and ensure timely resolution.

Metadata Management & Data Lineage

• Maintain technical and business metadata across enterprise data platforms.
• Document data lineage, data flows, source-to-target mappings, and transformation logic.
• Maintain data catalogs, business glossaries, and technical data dictionaries.
• Identify critical data elements (CDEs) and ensure appropriate documentation and ownership.
• Support impact analysis for changes to source systems, data structures, and reporting requirements.

Data Classification, Security & Compliance

• Support data classification based on sensitivity, confidentiality, and business criticality.
• Ensure appropriate data access, usage, and handling standards are followed.
• Support compliance with organizational data policies and applicable regulatory requirements.
• Work with security and compliance teams to implement data protection and retention standards.

Stakeholder Management & Reporting

• Collaborate with business data owners, data stewards, IT teams, and data engineering teams.
• Conduct workshops to understand business data requirements and governance gaps.
• Prepare governance dashboards, status reports, data quality metrics, and remediation trackers.
• Drive adoption of data governance standards across business and technology teams.

Required Technical Skills & Experience

• 5 to 10 years of experience in Data Governance, Data Management, Data Quality, or related roles.
• Strong understanding of enterprise data governance frameworks, principles, and best practices.
• Hands-on experience with metadata management, business glossaries, data dictionaries, and data lineage.
• Experience defining data quality rules, validation checks, and data quality KPIs.
• Understanding of data warehousing, ETL/ELT processes, relational databases, and enterprise data architectures.
• Good understanding of SQL and ability to perform data profiling and validation.
• Experience documenting source-to-target mappings and data transformation rules.
• Understanding of data classification, data privacy, access controls, and regulatory compliance.

Preferred Skills

• Experience with data governance tools such as Collibra, Informatica Axon, Informatica IDQ, Alation, or Microsoft Purview.
• Exposure to cloud data platforms such as AWS, Azure, or Google Cloud.
• Understanding of AWS services such as S3, Glue, Lake Formation, and Redshift.
• Exposure to SAP enterprise data environments (SAP ECC / S/4HANA).
• Familiarity with data cataloging, data lineage, and data quality automation.
• Knowledge of data governance frameworks such as DAMA-DMBOK.