Director of Data Governance

About the role

The Director of Data Governance will lead DeepHealth’s data ecosystem transformation, turning data into a unified, high‑quality enterprise asset that supports advanced analytics and AI initiatives. Reporting to Quality, Regulatory, and Compliance, this senior leader will shape strategy, policy and execution across the organization.

Key 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 regulatory and business needs.
• Facilitate decision‑making on data standards and 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 to ensure 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 comply with global privacy regulations and internal governance mandates.

Required profile

• Bachelor’s degree in Computer Science, Information Security, Information Management or a related field, or equivalent practical experience.
• 7‑10 years of progressive experience in Data Management, Data Governance or Information Architecture in a highly regulated industry such as healthcare or medical technology.
• Strong experience with DAMA‑DMBOK frameworks and data quality lifecycle management.
• Deep understanding of data profiling tools, metadata management and modern data‑stack concepts.
• Experience with AI systems in production or product development contexts.
• Excellent written and oral communication skills and a high level of integrity and confidentiality.

Required skills

• DAMA‑DMBOK framework
• Data profiling tools
• Metadata management
• Modern data‑stack concepts
• AI systems in production