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(manual or automated) around sensitive, critical, confidential data\nMaster Data Management: Develop, validate, and maintain detailed mappings and schemas in Excel to manage master data critical for analysis and reporting.\nData Quality Assurance: Regularly audit and refine data quality, collaborating with IT, Data Owners, Data Stewards, and other stakeholders to rectify discrepancies and maintain high data integrity.\nPolicy Implementation and Compliance: Adhere to and enforce strict data management practices that comply with industry regulations such as GDPR, HIPAA, or specific insurance regulatory standards.\nStakeholder Collaboration: Liaise between data users, technical teams, and business leaders to align data accessibility with the strategic needs of the actuarial department.\nEducational Workshops and Support: Conduct training sessions and provide ongoing support for Alation and Excel-related data governance practices.\nProject Leadership: Manage and execute data governance projects, ensuring alignment with broader business objectives and timely completion.\n Role & Responsibilities Overview:\nData Cataloging: Utilize IDMC to effectively catalog data assets, ensuring robust metadata management and enhancing data discoverability across the organization.\n Data Classification: Support with necessary data classification (manual or automated) around sensitive, critical, confidential data\nMaster Data Management: Develop, validate, and maintain detailed mappings and schemas in Excel to manage master data critical for analysis and reporting.\nData Quality Assurance: Regularly audit and refine data quality, collaborating with IT, Data Owners, Data Stewards, and other stakeholders to rectify discrepancies and maintain high data integrity.\nPolicy Implementation and Compliance: Adhere to and enforce strict data management practices that comply with industry regulations such as GDPR, HIPAA, or specific insurance regulatory standards.\nStakeholder Collaboration: 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