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Lead Data Governance Global Grade 12

Job in Hilton Head Island, Beaufort County, South Carolina, 29938, USA
Listing for: Barloworld Equipment
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Information & Knowledge Management, Information Security & Data Protection, Data Warehousing, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Key Outputs

To establish, embed, and operationalize enterprise-wide data governance, ensuring that data across Azure Fabric, One Lake, Dynamics 365, Snowflake and related platforms is trusted, high-quality, secure, and fit for decision-making. The role owns governance frameworks, policies, and operating models, with a strong emphasis on governing data at source and embedding governance into platforms by design.

  • Define and own the enterprise data governance strategy and operating model
  • Establish roles and accountability (data owners, stewards, custodians) across business domains
  • Embed governance into Azure Fabric, One Lake, Snowflake and data platforms
  • Own metadata, lineage, and cataloguing via relevant tool
  • Drive data quality improvement at source, particularly within Dynamics 365
  • Define governance standards for ERP data (master and transactional)
  • Establish and maintain data policies, security, and compliance frameworks
  • Lead stakeholder engagement and organizational change to embed governance practices
  • Enterprise data governance framework and operating model
  • Snowflake, Azure fabric and One Lake governance standards and controls
  • Trusted, catalogued, and lineage-enabled data assets
  • Improved data quality metrics, particularly in Dynamics 365
  • Defined data ownership and stewardship structures
  • Governance policies (classification, security, retention, compliance)
  • Increased trust, discoverability, and usability of enterprise data
Key Outputs

To establish, embed, and operationalize enterprise-wide data governance, ensuring that data across Azure Fabric, One Lake, Dynamics 365, Snowflake and related platforms is trusted, high-quality, secure, and fit for decision-making. The role owns governance frameworks, policies, and operating models, with a strong emphasis on governing data at source and embedding governance into platforms by design.

  • Define and own the enterprise data governance strategy and operating model
  • Establish roles and accountability (data owners, stewards, custodians) across business domains
  • Embed governance into Azure Fabric, One Lake, Snowflake and data platforms
  • Own metadata, lineage, and cataloguing via relevant tool
  • Drive data quality improvement at source, particularly within Dynamics 365
  • Define governance standards for ERP data (master and transactional)
  • Establish and maintain data policies, security, and compliance frameworks
  • Lead stakeholder engagement and organizational change to embed governance practices
  • Enterprise data governance framework and operating model
  • Snowflake, Azure fabric and One Lake governance standards and controls
  • Trusted, catalogued, and lineage-enabled data assets
  • Improved data quality metrics, particularly in Dynamics 365
  • Defined data ownership and stewardship structures
  • Governance policies (classification, security, retention, compliance)
  • Increased trust, discoverability, and usability of enterprise data
Qualification, Experience and Competencies Minimum Required Qualification
  • Degree in Information Systems, Data Management, Computer Science, or related field (or equivalent experience)
Minimum Required Experience
  • Extensive experience leading enterprise data governance initiatives
  • Strong experience with Microsoft data platforms (Snowflake, Purview, One Lake)
  • Proven experience governing ERP data (preferably Dynamics 365)
  • Frameworks and improving data quality at source
Minimum Required Competencies
  • Data governance strategy and execution
  • Metadata, lineage, and data cataloguing expertise
  • Data quality management and root-cause remediation
  • Leadership, influence, and stakeholder engagement
  • Change management and communication
  • Regulatory, risk, and compliance awareness Attention to detail and quality assurance mindset
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