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Healthcare Data Transformation Leader
1 week ago
Antal International Network is seeking an innovative and results-driven Data Management, Digital Health, and Automation Manager to lead the transformation of healthcare data ecosystems through advanced digital solutions and automation.
About the Role:
We are looking for a seasoned professional with expertise in data management, digital health technologies, and workflow automation. As a key member of our team, you will be responsible for overseeing healthcare data management, implementing cutting-edge digital health solutions, and driving workflow optimization to enhance operational efficiency, regulatory compliance, and patient outcomes.
Key Responsibilities:
- Data Management & Governance
- Develop and enforce data governance policies to ensure compliance with healthcare regulations.
- Design data quality frameworks for improving the accuracy, consistency, and security of healthcare data.
- Oversee data integration across Electronic Health Records (EHRs), hospital management systems, and external data sources.
- Implement cloud-based data platforms and enable secure data sharing for research, analytics, and patient care optimization.
- Establish robust data lineage tracking and auditing mechanisms to ensure transparency and accountability.
- Automation & Process Optimization
- Implement Robotic Process Automation (RPA) and AI-driven workflows to improve efficiency in administrative and clinical processes.
- Automate claims processing, medical coding, and billing workflows to enhance accuracy and reduce turnaround time.
Requirements:
To be successful in this role, you will need:
- A Bachelor's degree in health informatics, data science, computer science, biomedical engineering, or a related field.
- 10+ years of experience in healthcare IT, data management, or automation, preferably in a hospital or health tech setting.
- Expertise in automation tools (UiPath, Blue Prism, Power Automate, Python-based RPA).
- Experience working with cloud platforms (AWS, Azure, Google Cloud) for healthcare data storage and analytics.
- Strong understanding of data engineering, ETL processes, SQL, NoSQL databases, and big data technologies (Hadoop, Spark).