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Data Governance Architect
3 months ago
Overview
HarperCollins Publishers is seeking a skilled Data Governance Specialist to contribute to our team. This role will focus on supporting the implementation and maintenance of our organization's data governance framework. The ideal candidate possesses a strong understanding of data governance principles, data quality, and data management best practices. They should be able to develop and implement effective data governance solutions tailored to HarperCollins' needs.
Responsibilities
- Collaborate with data owners and custodians to establish and refine data governance processes, standards, and procedures.
- Conduct in-depth analyses across various data domains to document current data flows, identify potential data silos, redundancies, and inconsistencies. Propose solutions to address these issues.
- Lead data governance committees for different domains to ensure alignment of data definitions and maintain consistent schemas.
- Work closely with data owners and cross-functional teams to document comprehensive data inventories, definitions, and data mappings for integrations and establish data quality rules.
- Partner with technology groups to implement governance solutions, standards, controls, and validations within various source applications.
- Develop and maintain robust data quality standards and metrics.
- Monitor compliance with established data governance policies and procedures.
- Provide training and support to stakeholders on data governance policies and procedures.
Qualifications
- Bachelor's degree in Information Systems, Computer Science, or a related field.
- Minimum of 3 years of experience in data governance, business analysis, or a related data field.
- Strong understanding of data modeling and database design with the ability to write and execute complex SQL queries.
- Knowledge of metadata management tools and data catalogs for implementing governance policies and tracking data lineage, data ownership, and documenting glossaries and definitions.
- Understanding of data integration and ETL (Extract, Transform, Load) tools to ensure data consistency and integrity across different systems and applications.
- Familiarity with relevant technologies such as SQL Server, Big Query, Azure Synapse, Power BI among others.
- Experience in project management, business analysis, or a related field.