Data Analytics and Integration Manager: Health Care

21st Century Home Health Services (21HHS) is committed to both its patients and employees, as demonstrated by its exceptional outcomes. The company’s hospital readmission rates consistently remain under 10%, well below the industry average of over 15%. 21HHS has also set a high standard for employee satisfaction, earning recognition as a 2024 Top Workplace for its supportive, empowering work environment, open communication, professional growth opportunities, and culture of recognition.
As the fastest-growing home health agency in the Bay Area, 21HHS has recently expanded into the greater Sacramento area. Positive reviews on platforms like Yelp, Google, Glassdoor, and Indeed further affirm the company’s commitment to quality care and employee excellence, solidifying its leadership in the home health industry
This is a unique opportunity for a driven data analytics professional to build a best-in- class data infrastructure that supports an innovative, AI-driven future for a rapidly growing organization, while collaborating with a dynamic leadership team.
Position Overview:
In this role, you will apply your expertise in data governance, quality management, and system integration to ensure the integrity, quality, and accessibility of data across multiple systems. Your efforts will improve operational efficiency and enhance data infrastructure, driving better patient outcomes and operational efficiencies through optimized data flows.
Your deep knowledge of clinical informatics will enable you to oversee the seamless integration of data from various sources, ensuring that critical patient information is accurate, timely, and AI-ready.
You will work to optimize data flows, enhancing system interoperability for smoother transitions and greater consistency in reporting. Additionally, your experience with data integration and creating scalable solutions for data analysis will help build frameworks that grow with the organization, while leveraging AI to provide actionable insights for improving patient care, reducing inefficiencies, and enhancing healthcare quality.

Key Responsibilities:

• Ensure accuracy, consistency, and integrity of data across clinical and operational systems.
• Develop and implement data quality frameworks to support reliable and scalable data processes.
• Monitor and resolve data anomalies in clinical, operational, and medical record systems to maintain high standards.
• Integrate and optimize data flows between systems including but not limited to: Workflow Operating Systems (e.g., Monday.com), Cloud Data Platforms (e.g., Snowflake), Business Intelligence tools (e.g., Domo), and medical record systems (e.g., Kinnser).
• Collaborate with cross-departmental teams to ensure seamless integration for efficient data processing and analysis.
• Design and implement automated data workflows to improve data accessibility and operational efficiency.
• Develop 2-3 year’ vision driving AI-driven system integration strategies to enhance data-driven decision-making
• Create dynamic dashboards in Domo to provide actionable insights on KPIs like patient satisfaction, readmission rates, staff performance, and productivity.
• Use BI tools to automate reporting, improving real-time data accessibility for decision-making.
• Design and manage reports to optimize patient care pathways, operational processes, and resource allocation.
• Utilize AI and machine learning techniques to forecast trends and optimize operations.
• Oversee data governance processes, including Data Lake maintenance and Data Pipelining, to ensure quality, consistency, and scalability across systems.
• Ensure seamless data integration between systems while maintaining high integrity.
• Establish and enforce best practices for managing healthcare data, including OASIS codes, diagnosis codes, and CMS measures.
• Leverage AI technologies to strengthen data governance and improve data accuracy and consistency.
• Partner with clinical, operational, and IT teams to identify opportunities for data quality and analytics improvement.
• Train staff and leadership on interpreting data insights, optimizing productivity, and using integrated systems effectively.
• Use integrated data analytics to forecast trends in patient care, resource allocation, operational efficiency, and productivity.
• Evaluate the impact of data-driven programs and recommend continuous improvements for scalability and performance optimization.
• Implement AI-powered tools to provide predictive analytics that drive strategic decisions.

Qualifications:

• Bachelor’s or Master’s degree in Nursing Informatics, Data Science, Engineering, or a related field.
• 5+ years in data analytics, clinical informatics, or system integration (Healthcare and/or home health experience preferred).
• Consulting background is a plus.
•  Work Operating Systems (e.g., Monday.com), Cloud Data Platforms (e.g., Snowflake), BI tools (e.g., Domo), and Medical Record Systems (e.g., Kinnser).
• Strong knowledge of healthcare data structures, including OASIS codes, diagnosis codes, and CMS measures is highly preferred.
• Experience with data governance practices and ensuring data integrity across integrated systems.
• Proficiency in advanced SQL, Python, excel statistics, data analysis, and automation tools.
• Strong communication skills to explain integrated data insights to both technical and non-technical stakeholders.

21st Century is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or