Director of Data Governance
DeepHealth
Director of Data Governance
DeepHealth
AI-driven medical imaging and informatics platform
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.
AI-driven medical imaging and informatics platform
DeepHealth provides AI-powered medical imaging and health informatics solutions that help radiologists analyze X-rays, CTs, and MRIs by automating parts of image interpretation, highlighting areas of concern, and delivering quantitative insights. It works by integrating AI into radiology workflows via cloud-based software, enabling automated image analysis, scoring, and reporting within enterprise imaging systems. The company differentiates itself through its integration with RadNet and strategic acquisitions of iCAD and CIMAR UK, expanding breast imaging capabilities, interoperability, and the scale of its deployments. Its goal is to accelerate the adoption of AI in real-world healthcare, improve diagnostic accuracy and consistency, and streamline imaging workflows across hospitals and health systems.
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