Automation and Workflow Optimization Manager
7 days ago
About the Job:
CARE is looking for an experienced Automation and Workflow Optimization Manager to join our team. As a key member of our organization, you will be responsible for implementing Robotic Process Automation (RPA) and AI-driven workflows to improve efficiency in administrative and clinical processes. You will also automate claims processing, medical coding, and billing workflows to enhance accuracy and reduce turnaround time.
About the Role:
- 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.
- 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.
- Digital Health Strategy & Innovation: Lead the implementation of digital health solutions, including telemedicine, remote patient monitoring, and patient engagement platforms. Drive interoperability initiatives by integrating clinical and operational systems using HL7, FHIR, and other industry standards.
Responsibilities:
- Implement RPA and AI-Driven Workflows: Improve efficiency in administrative and clinical processes by implementing RPA and AI-driven workflows.
- Automate Claims Processing: Automate claims processing, medical coding, and billing workflows to enhance accuracy and reduce turnaround time.
- Develop and Enforce Data Governance Policies: Ensure compliance with healthcare regulations by developing and enforcing data governance policies.
- Design Data Quality Frameworks: Improve the accuracy, consistency, and security of healthcare data by designing data quality frameworks.
Requirements:
- Bachelor's degree: In health informatics, Data Science, Computer Science, Biomedical Engineering, or a related field.
- Experience: 10+ years of experience in healthcare IT, data management, or automation, preferably in a hospital or health tech setting.
- Skills: 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.
- Certifications: Strong understanding of data engineering, ETL processes, SQL, NoSQL databases, and big data technologies (Hadoop, Spark).
- Security Clearance: Familiarity with cybersecurity best practices for securing patient data and healthcare applications.
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