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Director of Data Governance

Role overview

Qualifications

  • Experience in data governance frameworks
  • Proficiency in data management policies
  • Knowledge of regulatory requirements
  • Ability to lead cross-functional teams

Responsibilities

  • Define and execute a Data Governance roadmap
  • Review and enforce the Data Management Policy
  • Facilitate decision-making on data standards
  • Implement Data Quality Management procedures

Key facts

Hard skills

Other skills

  • Decision Making
  • Mentorship

About the company

DeepHealth logo

DeepHealth

  • Digital Health
  • SME
  • 201–500
DeepHealth is RadNet's AI-powered health informatics subsidiary, created to empower breakthroughs in care delivery. The heart of its portfolio of solutions, the DeepHealth OS, is a cloud-native operating system that orchestrates all data to drive value across the enterprise. DeepHealth aims to elevate the role of the radiologist, beyond radiology and across the entire care pathway. It empowers all users across the care continuum with personalized workflows to make work easier and more meaningful. DeepHealth leverages advanced AI technologies in breast, lung, prostate, and brain health, as well as operational efficiencies to create end-to-end efficiency across the enterprise.

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Job description

The Director of Data Governance sits within Quality, Regulatory, and Compliance and leads the evolution of DeepHealth's data ecosystem into a unified, high-quality enterprise asset. The role owns strategic design, implementation, and continuous improvement of the Data Governance Framework so data is accurate, secure, and ready for advanced analytics and AI initiatives.

Essential Duties and Responsibilities 

·       Define and execute a Data Governance roadmap aligned with the Enterprise Information and Governance vision.

·       Review, maintain, and enforce the Data Management Policy and Data Governance Charter against current regulatory and business needs.

·       Facilitate decision-making on data standards and help resolve cross-functional data conflicts.

·       Implement Data Quality Management procedures and establish KPIs for data accuracy, completeness, and consistency.

·       Define enterprise-wide data standards, including metadata management, data lineage, and master data management protocols.

·       Partner with IT and Security so data pipelines support AI applications while maintaining security boundaries.

·       Work with Security to define data classification levels and manage high-risk data access policies.

·       Ensure data practices adhere to applicable global privacy regulations and internal Enterprise Information and Governance mandates.

·       Align data governance priorities with organizational objectives and regulatory requirements.

·       Mentor and develop team members as the data governance capability grows.

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