Mgr-Care Management Data Analytics

The Manager of Care Management Data Analytics leads advanced analytics and data science initiatives that support operational excellence and improved member outcomes.
This role transforms complex Care Management data into predictive and prescriptive insights that help leaders anticipate risks, optimize workflows, and make informed decisions.
You will oversee predictive modeling, machine learning, statistical programming, automated data pipelines, and advanced reporting capabilities.
The position also provides leadership and development for a team of data analysts while establishing rigorous standards for analytical quality and data integrity.
Working closely with clinical, operational, IT, and business intelligence stakeholders, you will translate sophisticated findings into practical recommendations for executive audiences.
The role combines strategic leadership, hands-on analytical expertise, data governance, and cross-functional partnership in a healthcare environment.
This is a full-time remote position for candidates residing in North Carolina, with occasional travel to the Morrisville home office for team meetings.

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or another quantitative STEM discipline with a strong focus on computational modeling and statistical analysis.
• 6+ years of experience in advanced data analytics or data science, including at least 2 years focused on predictive modeling, machine learning, or complex statistical programming within healthcare or a large-scale operational environment.
• Demonstrated experience translating business problems into clear analytical requirements and problem statements.
• Experience identifying, retrieving, integrating, storing, cleansing, and preprocessing data from multiple sources.
• Strong experience conducting exploratory data analysis and communicating analytical findings through reports, dashboards, and presentations.
• Proven ability to review analytical outputs for accuracy, consistency, and business relevance.
• Experience managing competing priorities, coordinating cross-functional stakeholders, and communicating effectively with both technical and non-technical audiences.
• Demonstrated ability to supervise, coach, and support data analytics or reporting professionals.
• Knowledge of healthcare operations, Care Management workflows, health plan performance metrics, and state reporting requirements is preferred.
• Experience with healthcare reporting portfolios, data warehouse reporting tools, or health plan performance metrics is an advantage.
• Proficiency in statistical programming languages such as R or Python for advanced data manipulation and analysis.
• Experience applying analytical or machine learning algorithms to identify complex patterns in healthcare, Medicaid, or Care Management data.
• Familiarity with machine learning frameworks and libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Advanced SQL capabilities, including complex querying and data engineering for large-scale datasets.
• Strong analytical, conceptual, organizational, problem-solving, facilitation, and presentation skills.
• Ability to translate operational, leadership, project, and regulatory requirements into analytical work plans.
• Proficiency with Microsoft Excel, Microsoft Office, Teams, SharePoint, data visualization tools, and reporting platforms.
• Ability to represent Care Management data needs in leadership and project meetings and coordinate follow-up actions.
• Valid driver’s license required.
• Candidates must reside in North Carolina and be able to travel to the Morrisville, NC home office for onsite meetings as needed.