Mgr-Care Management Data Analytics
Indian Trail, Indian Trail / Wesley Chapel, Union County, North Carolina, USA
Listed on 2026-10-09
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IT/Tech
Data Analyst, Data Scientist, Data Engineering
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Mgr-Care Management Data Analytics based in United States.
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.
Accountabilities:- Lead the development and implementation of predictive and prescriptive analytical frameworks that support proactive decision-making and operational excellence within Care Management.
- Drive the transition from descriptive reporting toward predictive and prescriptive analytics to optimize workflows, anticipate risks, and improve member outcomes.
- Partner with Care Management leadership to identify opportunities where data science, machine learning, and advanced analytics can improve service delivery.
- Oversee statistical programming and machine learning approaches used to identify trends, member health risks, operational bottlenecks, and other actionable patterns.
- Guide the development of advanced analytical models and automated data pipelines that provide dynamic intelligence beyond traditional static dashboards.
- Ensure statistical methodologies and predictive models meet rigorous standards for accuracy, reliability, and scientific validity.
- Provide day-to-day leadership, coaching, performance management, and development for a team of data analysts.
- Assign and prioritize complex analytical work streams while ensuring the team uses modern computational tools effectively.
- Serve as a strategic partner to IT, Business Intelligence, Quality, Clinical Operations, and other stakeholders on data architecture and advanced analytics needs.
- Translate complex statistical findings and technical outputs into clear, actionable recommendations for non-technical executives and leadership teams.
- Lead data-driven project planning, reporting initiatives, and audit preparation using predictive insights to anticipate regulatory and operational changes.
- Establish quality assurance protocols covering data accuracy, model integrity, algorithm reliability, and analytical consistency.
- Identify and mitigate risks related to data integrity, modeling quality, algorithmic bias, and responsible use of analytical outputs.
- Work with IT and business stakeholders to improve data capture and infrastructure for longitudinal, predictive, and advanced analytical use cases.
- Represent Care Management data needs across departments, clarify requirements, communicate findings, and support leadership with data-informed decisions.
- Ensure reports, dashboards, metrics, code, and analytical workflows are accurately documented and maintained.
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or…
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