Data Governance Manager

Tredence Inc.; Dallas (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Tredence Inc. is seeking an experienced Data Governance and Data Management Architect to lead enterprise-wide governance initiatives, including MDM, metadata management, and data modeling.

You will guide strategy, implement governance frameworks, and collaborate with stakeholders across technology and business units to ensure trusted, governed data assets. This role requires deep expertise in Microsoft Purview and Alation, strong SQL and Python skills, and experience with Azure Data Platform.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or related field.
• 12+ years of experience in Data Governance, Data Management, Data Architecture, or Data Strategy roles.
• Strong experience developing Data Governance Roadmaps and Blueprints.
• Hands-on implementation experience with Microsoft Purview.
• Experience with Alation Data Catalog.
• Strong expertise in Data Modeling techniques and tools.
• Experience implementing MDM solutions.
• Strong knowledge of Metadata Management frameworks.
• Advanced SQL development and optimization skills.
• Proficiency in Python for data automation and analytics.
• Experience working with Azure Data Platform and cloud ecosystems.

Responsibilities

• Define and implement enterprise Data Governance strategy, operating model, and roadmap.
• Develop Data Governance Blueprint aligned with business objectives and regulatory requirements.
• Establish data ownership, stewardship, accountability, and governance councils.
• Define governance policies, standards, controls, and data lifecycle management practices.
• Drive adoption of data governance across business and technology teams.
• Design conceptual, logical, and physical data models.
• Develop enterprise data models for analytics, reporting, and operational systems.
• Collaborate with business stakeholders to define data domains and business glossaries.
• Ensure consistency and standardization across enterprise data structures.
• Define Data Quality frameworks, KPIs, and governance controls.
• Establish data profiling, validation, monitoring, and remediation processes.
• Implement proactive data quality dashboards and scorecards.
• Work with business teams to address data quality issues and root-cause analysis.
• Develop MDM strategy, roadmap, and implementation blueprint.
• Define golden record, mastering rules, survivorship rules, and reference data standards.
• Lead Customer, Product, Vendor, and Enterprise MDM initiatives.
• Collaborate with business and technical teams to improve master data consistency.
• Implement data cataloging, lineage, impact analysis, and business glossary processes.
• Drive metadata harvesting and metadata governance initiatives.
• Ensure data discoverability and trust across the enterprise.
• Lead implementation and administration of Microsoft Purview.
• Configure data cataloging, lineage, classification, and governance workflows.
• Integrate Purview with Azure Data Services and enterprise platforms.
• Leverage Alation for data cataloging, stewardship, governance workflows, and self-service analytics.
• Optimize metadata management and business glossary capabilities.
• Support regulatory requirements including GDPR, CCPA, HIPAA, SOX, and industry-specific controls.
• Drive data classification, sensitivity labeling, and privacy controls.
• Conduct governance audits and compliance assessments.
• Build SQL-based data quality checks, profiling, and governance reports.
• Enable governance automation through APIs and workflow orchestration.

Skills

SQL

Python

Data Modeling

Governance

Data Strategy

Education

Bachelor's degree

Master's degree

Tools

Microsoft Purview

Alation Data Catalog

SQL

Python

Azure Data Platform

Job description

We are seeking an experienced Data Governance and Data Management Architect to lead the design and implementation of enterprise-wide Data Governance, Data Quality, Master Data Management (MDM), Metadata Management, and Data Modeling initiatives. The ideal candidate will have strong expertise in Microsoft Purview, Alation, SQL, Python, and modern data management frameworks to establish trusted, governed, and business-ready data assets across the organization.

Key Responsibilities

Data Governance Strategy & Roadmap

• Define and implement enterprise Data Governance strategy, operating model, and roadmap.
• Develop Data Governance Blueprint aligned with business objectives and regulatory requirements.
• Establish data ownership, stewardship, accountability, and governance councils.
• Define governance policies, standards, controls, and data lifecycle management practices.
• Drive adoption of data governance across business and technology teams.
• Design conceptual, logical, and physical data models.
• Develop enterprise data models for analytics, reporting, and operational systems.
• Collaborate with business stakeholders to define data domains and business glossaries.
• Ensure consistency and standardization across enterprise data structures.

Data Quality Management

• Define Data Quality frameworks, KPIs, and governance controls.
• Establish data profiling, validation, monitoring, and remediation processes.
• Implement proactive data quality dashboards and scorecards.
• Work with business teams to address data quality issues and root-cause analysis.

Master Data Management (MDM)

• Develop MDM strategy, roadmap, and implementation blueprint.
• Define golden record, mastering rules, survivorship rules, and reference data standards.
• Lead Customer, Product, Vendor, and Enterprise MDM initiatives.
• Collaborate with business and technical teams to improve master data consistency.

Metadata Management

• Implement data cataloging, lineage, impact analysis, and business glossary processes.
• Drive metadata harvesting and metadata governance initiatives.
• Ensure data discoverability and trust across the enterprise.

Microsoft Purview & Alation

• Lead implementation and administration of Microsoft Purview.
• Configure data cataloging, lineage, classification, and governance workflows.
• Integrate Purview with Azure Data Services and enterprise platforms.
• Leverage Alation for data cataloging, stewardship, governance workflows, and self-service analytics.
• Optimize metadata management and business glossary capabilities.

Data Compliance & Risk Management

• Support regulatory requirements including GDPR, CCPA, HIPAA, SOX, and industry-specific controls.
• Drive data classification, sensitivity labeling, and privacy controls.
• Conduct governance audits and compliance assessments.

Analytics & Automation

• Build SQL-based data quality checks, profiling, and governance reports.
• Enable governance automation through APIs and workflow orchestration.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or related field.
• 12+ years of experience in Data Governance, Data Management, Data Architecture, or Data Strategy roles.
• Strong experience developing Data Governance Roadmaps and Blueprints.
• Hands-on implementation experience with Microsoft Purview.
• Experience with Alation Data Catalog.
• Strong expertise in Data Modeling techniques and tools.
• Experience implementing MDM solutions.
• Strong knowledge of Metadata Management frameworks.
• Advanced SQL development and optimization skills.
• Proficiency in Python for data automation and analytics.
• Experience working with Azure Data Platform and cloud ecosystems.

Technical Skills

Data Governance

• Data Governance Frameworks
• Data Stewardship
• Data Lifecycle Management

Data Management

• Master Data Management (MDM)
• Reference Data Management
• Metadata Management
• Data Cataloging
• Business Glossary
• Conceptual, Logical & Physical Data Modeling