Manager - HEDIS Informatics and Business Intelligence

CVS Health•Work At Home-Virginia, VA

1d•$60,300 - $145,860

About The Position

Leverages technology and data to improve healthcare outcomes by designing, implementing, and maintaining health information systems, analyzing healthcare data, and utilizing technology to support clinical workflows and decision-making. Applies expertise in healthcare and information technology to ensure efficient data management, promote data-driven insights, and enhance the delivery of healthcare services. The role assesses departmental requirements and integration opportunities, supports data, reporting, and analytics functions, and coaches the team in statistical and computational methods. It also involves reviewing current knowledge in data management, information systems, machine learning, and artificial intelligence; collaborating with industry partners to apply research findings; creating system documentation; defining data models, integrations, and governance policies; developing data migration systems; and establishing testing processes.

Requirements

At least 3 years of relevant work experience or equivalent experience.
Proficiency in SQL and/or Python.
Proficiency in business intelligence reporting tools such as Tableau or Power BI.
Problem-solving and decision-making skills.
Collaboration and teamwork skills.
Growth mindset, including agility and developing yourself and others.
Execution and delivery skills, including planning, delivering, and supporting.
Ability to translate non-analytical customer needs into analysis and reporting and communicate data insights.
Bachelor's degree in Statistics, Mathematics, Data Analytics, or a related STEM field.

Nice To Haves

Experience working within Healthcare Quality Management.
Experience with NCQA HEDIS and other quality metrics.
Outcomes research experience.
Master’s degree.

Responsibilities

Assess department requirements and identify opportunities to integrate new technologies and system processes.
Assist the team in managing data, reporting, and analytics so internal teams can draw meaningful conclusions.
Coach the team on applying statistical and computational methods to analyze research data.
Conduct literature reviews on data management, information systems, machine learning, and artificial intelligence.
Confer with industry partners on applying research findings to real-world settings and advancing industry knowledge.
Design system documentation, including specifications, architectural diagrams, and user guides.
Determine approaches for defining data models, data integration processes, and data governance policies.
Develop complex data migration systems and coordinate with data management teams to ensure accurate information transfers.
Establish departmental testing processes to ensure requirements and functions are met.