Data Governance Manager

Responsibilities

• Define, maintain, and continuously improve the enterprise data governance framework, including data governance policies, standards, procedures, controls, and accountability models.
• Establish and oversee data governance operating models, councils and stewardship structures to ensure clear ownership and effective decision-making.
• Develop and execute roadmaps to improve enterprise data maturity, governance capabilities, and adoption across the Company.
• Govern data quality of all the systems in the Company, including profiling, maintaining data quality scorecards and help the data stewards in issue identification, remediation workflows, and continuous improvement.
• Define data quality metrics, thresholds, and KPIs, track performance and report on data quality, stewardship adoption, and issue resolution effectiveness.
• Oversee the implementation, adoption, and ongoing management of data catalogs, metadata management, data quality, MDM, and governance workflow tools to support effective & efficient decision making, analytics, and operational processes.
• Ensure critical data elements are well-defined, standardized, documented, and easily discoverable across the enterprise.
• Maintain end-to-end data lineage and impact analysis for key business, operational, and regulatory data assets.
• Partner with Legal, Risk, Security, and Compliance teams to ensure data governance practices meet regulatory and audit requirements.
  
  

• Bachelor’s degree in Information Technology, Computer Science, Data Management, Business, or a related field
  
  

• Minimum of 7 years’ experience in data management & analytics
• Preferred minimum 4 years of experience in a data governance, data quality, metadata management
• Hands-on experience implementing data governance frameworks at scale
  
  

• Strong understanding of Data governance frameworks (e.g., DAMA-DMBOK), Data quality management, Metadata, master data, and reference data management
• Familiarity with data platforms (data warehouses, data lakes, cloud ecosystems – Azure/AWS)
• Experience with governance tools (Collibra or Alation or Informatica, Azure Purview)
• Knowledge of data privacy and regulatory requirements relevant to the industry