JD
Role Title -- Data Governance Lead
Location USA (Remote)
Responsibilities :
Develop Data Governance roadmap to align with organizational strategy.
Closely work with data engineering and data consumption teams to design, implement, update, and enforce data governance frameworks, policies, and procedures.
Identify and communicate data governance gaps, mitigate threats, and realize benefits by implementing industry standards best practices of data governance in healthcare domain.
Work with various teams to remediate barriers to proper data governance design.
Facilitate data governance committee meetings.
Develop & Drive metadata management initiatives to improve data discoverability, lineage and impact analysis.
Onboard and configure Collibra Data Governance tool.
Integration of Governance Tool with Snowflake, Informatica MDM, Azure Data Services such as Azure Data Lake, Azure SQL Server, Azure Data Factory, etc.
Monitoring data quality and continuous data quality improvement through data governance.
Required Skills:
Strong communication skills to lead cross-functional teams and effectively communicate data governance policies and procedures.
Ability to articulate technical concepts to non-technical stakeholders. Experience working with various teams to implement and manage cross-functional data governance frameworks, policies, and procedures.
Familiarity with DBMS platform management and best practices.
Proficiency in working with both OLTP and OLAP data platforms, preferably Snowflake and SQL Server.
Experience with designing and maintaining role-based access control (RBAC) strategy on an enterprise data platform.
Experience with data governance tools and platforms (Collibra preferred).
Familiarity with data cataloging and classification techniques for enterprise data assets.
Proficiency in MDM concepts and best practices for managing master data across the organization.
Data Quality Management: Knowledge of data quality assessment, profiling, cleansing, and monitoring techniques and tools.
Previous experience in a similar role, preferably in a healthcare or payer organization
Previous experience in a data operations role such as data engineering or data architecture, preferably in a healthcare or payer organization.
Proficient in SQL and preferably Python
Strong understanding of Azure cloud services relevant to data management, including Azure Data Lake, Azure SQL Database, and Azure Data Factory.
Understanding of cloud ELT tools, preferably Matillion, and how they integrate with database platforms.
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