Data Governance Specialist

We are seeking an experienced Data Governance Specialist to establish, implement, and manage enterprise-wide data governance frameworks, policies, standards, and processes. The ideal candidate will be responsible for ensuring data quality, data stewardship, compliance, security, and regulatory adherence across the organization's data landscape.

The role requires close collaboration with business stakeholders, data owners, data stewards, architects, and technology teams to drive data governance initiatives that support business objectives and enable trusted, secure, and well-managed data assets.

Required Technical Skills

Data Governance

• Data Governance Frameworks
• Data Stewardship
• Data Ownership Models
• Data Quality Management
• Data Lineage
• Metadata Management
• Business Glossary Management
• Data Lifecycle Management
• Master Data Management (MDM)

Data Governance Tools

Experience with one or more of the following:

• Microsoft Purview
• Collibra
• Informatica Data Governance
• Alation
• IBM InfoSphere
• Talend Data Quality
• SAP Information Steward

Data Management

• Data Cataloging
• Data Classification
• Data Profiling
• Data Quality Assessment
• Data Mapping
• Reference Data Management

Cloud & Data Platforms

• Microsoft Azure
• Microsoft Fabric
• AWS
• GCP
• Data Warehouses and Data Lakes

Analytics & Reporting

• SQL
• Power BI
• Excel
• Data Governance Dashboards

Regulatory & Compliance Knowledge

Strong understanding of:

• GDPR
• CCPA
• Data Privacy Regulations
• Information Security Standards
• Data Retention Policies
• Enterprise Risk Management
• Regulatory Compliance Frameworks

Required Experience

• 6–10 years of overall experience in Data Management, Data Governance, Data Quality, or related domains.
• Hands-on experience implementing Data Governance programs in large enterprises.
• Experience working with Data Governance tools such as Purview, Collibra, or Informatica.
• Experience in metadata management, data cataloging, and data quality initiatives.
• Strong understanding of Data Lineage, Data Stewardship, and Governance operating models.
• Experience collaborating with business, risk, compliance, and technology stakeholders.
• Knowledge of cloud-based data ecosystems.

Educational Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Management, Engineering, or related field.
• Master's degree preferred.

Preferred Certifications

• DCAM (Data Management Capability Assessment Model)
• CDMP (Certified Data Management Professional)
• Microsoft Purview Certification
• Collibra Ranger Certification
• DAMA Data Governance Certification
• Azure Fundamentals / Azure Data Certifications

Soft Skills

• Excellent stakeholder management and communication skills.
• Strong analytical and problem-solving abilities.
• Ability to influence cross-functional teams and drive governance adoption.
• Strong documentation and policy-development skills.
• Leadership and facilitation skills for governance councils and steering committees.
• Ability to work independently in a fast-paced environment.

Key Responsibilities

• Define and implement enterprise Data Governance strategies, frameworks, and operating models.
• Establish and maintain data policies, standards, guidelines, and best practices.
• Drive Data Quality Management initiatives, including monitoring, profiling, cleansing, and remediation activities.
• Develop and maintain Data Catalogs, Business Glossaries, and Metadata Management processes.
• Define Data Ownership, Data Stewardship, and Data Custodian responsibilities across business functions.
• Ensure compliance with regulatory and industry standards related to data management and privacy.
• Collaborate with business and technical teams to improve data consistency, accuracy, integrity, and lineage.
• Lead Data Governance Council meetings and governance reviews.
• Implement and monitor data governance KPIs, metrics, and reporting dashboards.
• Support master data management (MDM) initiatives.
• Conduct data governance maturity assessments and recommend continuous improvement opportunities.
• Manage data risk, security, retention, and compliance requirements.
• Support enterprise data transformation, analytics, AI/ML, and cloud migration initiatives.