Mgr-Care Management Data Analytics

Jobgether SRL

Morrisville (NC)

Remote

USD 120,000 - 165,000

Full time

5 days ago
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Benefits offered by this job

Remote work in NC
Occasional travel to Morrisville HQ

Job summary

Jobgether SRL in the United States seeks a Manager, Care Management Data Analytics to lead advanced analytics and data science initiatives that support operational excellence and better member outcomes.

You will oversee predictive modeling, machine learning, automated data pipelines, and reporting, while guiding a team of data analysts and collaborating with clinical, IT, and BI stakeholders to deliver data-driven recommendations to executives.

Qualifications

  • Bachelor's degree in Data Science, Statistics, CS, Math, or similar with computational modeling focus.
  • 6+ years in advanced data analytics or data science, incl. 2+ years predictive modeling or ML in healthcare/large ops.
  • Translate business problems into analytical requirements and problem statements.
  • Experience integrating data from multiple sources and preprocessing data.

Responsibilities

  • Lead development and implementation of predictive and prescriptive analytics frameworks for Care Management.
  • Advance from descriptive to predictive analytics to improve workflows and outcomes.
  • Partner with Care Management leadership to identify opportunities for data science impact.
  • Oversee statistical programming and ML approaches to detect trends and risks.
  • Guide development of models and automated pipelines for dynamic intelligence.
  • Ensure methodologies meet accuracy and reliability standards.
  • Provide day-to-day leadership and development for data analysts.

Skills

Leadership
Communication
Data analytics
Problem solving
Presentation

Education

Bachelor's degree in Data Science or related field

Tools

R
Python
SQL
Scikit-learn
TensorFlow
PyTorch
Excel
Power BI

Job description

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.

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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 workstreams 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.
Requirements:
  • 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.
Benefits:
  • Full-time remote position for candidates residing in North Carolina.
  • Opportunity to lead advanced analytics and data science initiatives within a healthcare environment.
  • Strategic influence over predictive modeling, machine learning, data governance, and operational transformation.
  • Leadership responsibility for developing and mentoring a team of data analysts.
  • Cross-functional collaboration with Care Management, Clinical Operations, IT, Business Intelligence, Quality, and executive leadership.
  • Opportunity to work with large-scale healthcare datasets, predictive models, and advanced analytical technologies.
  • Compensation determined based on education, experience, external market data, and internal equity.
  • Occasional travel to the Morrisville, North Carolina home office for team meetings.

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