Data Governance Lead / Manager

Location

Remote – CST time zone

Experience

10+ Years

Job Summary

We are seeking an experiencedData Governance Lead to establish and drive enterprise-wide data governance, data quality, metadata management, and Master Data Management (MDM) initiatives. The ideal candidate will be responsible for defining governance frameworks, implementing data management best practices, ensuring regulatory compliance, and enabling trusted data across business functions.

The role requires expertise inMicrosoft Purview, Data Governance Roadmaps, Data Quality frameworks, Data Modeling, Metadata Management, MDM, SQL, and Python-based automation.

Key Responsibilities

Data Governance Strategy & Roadmap

• Develop and implement enterprise Data Governance Strategy and Operating Model.
• Define Data Governance Roadmap, Policies, Standards, and Procedures.
• Establish Data Governance Council and Stewardship Program.
• Drive data ownership, accountability, and stewardship across business domains.
• Define and monitor governance KPIs and compliance metrics.

Data Quality Management

• Design and implement enterprise Data Quality Framework.
• Establish data quality dimensions including Accuracy, Completeness, Consistency, Timeliness, Validity, and Uniqueness.
• Define and automate data quality rules and controls.
• Lead data remediation and issue management processes.
• Develop and monitor Data Quality Scorecards and Dashboards.

Master Data Management (MDM)

• Design and implement Customer, Product, Vendor, and Reference Data Management strategies.
• Define Golden Record architecture and survivorship rules.
• Lead data matching, deduplication, hierarchy management, and data standardization initiatives.
• Collaborate with business stakeholders to improve master data processes.

Metadata Management & Data Catalog

• Develop enterprise Metadata Management framework.
• Manage Business Glossary, Data Dictionary, and Data Lineage.
• Establish metadata standards and governance controls.
• Improve data discoverability, data classification, and lineage visibility.

Data Modeling

• Develop Conceptual, Logical, and Physical Data Models.
• Define enterprise canonical data models and standards.
• Collaborate with Data Architects and Engineering teams to ensure model consistency.
• Review and approve data architecture and modeling deliverables.

Microsoft Purview Implementation

• Implement and manage Microsoft Purview capabilities.
• Configure Data Catalog, Business Glossary, Data Lineage, Data Classification, and Data Estate Insights.
• Establish automated metadata scanning and cataloging processes.
• Enable governance workflows and compliance reporting within Purview.
• Drive enterprise adoption of Microsoft Purview.

Data Compliance & Risk Management

• Ensure compliance with GDPR, CCPA, BCBS239, HIPAA, PCI-DSS, and other applicable regulations.
• Implement data classification and information protection controls.
• Support audits, regulatory reporting, and risk management activities.

Automation & Analytics

• Utilize Python and SQL to automate governance processes.
• Develop data profiling, quality monitoring, and metadata extraction solutions.
• Create governance dashboards and reporting metrics.
• Support AI and analytics initiatives by improving trusted data availability.

Required Skills

Data Governance

• Data Governance Frameworks
• Data Stewardship
• Data Ownership Models
• Policy Development
• Governance Operating Models

Data Management

• Metadata Management
• Business Glossary
• Data Catalog
• Data Lineage
• Reference Data Management

Data Quality

• Data Profiling
• Data Quality Rules
• Data Cleansing
• Data Monitoring
• Root Cause Analysis

MDM

• Customer MDM
• Product MDM
• Golden Record Management
• Hierarchy Management
• Match & Merge Strategies

Data Modeling

• Conceptual Modeling
• Logical Data Modeling
• Physical Data Modeling
• Dimensional Modeling
• Canonical Data Models

Technology Skills

• Microsoft Purview
• Azure Data Platform
• SQL Server
• Azure Synapse
• Azure Data Factory
• Databricks
• Power BI
• Python
• SQL

Preferred Qualifications

• Experience implementing Microsoft Purview at enterprise scale.
• Experience in BFSI, Retail, Healthcare, Manufacturing, or Telecom domains.
• Strong stakeholder management and executive communication skills.
• Experience leading enterprise data governance transformation programs.