Lead Director - Analytics & Scheduling

Director Of Analytics & Scheduling

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. This role is fully remote and can live anywhere in the contiguous United States.

We are seeking a highly skilled and strategic Director of Analytics & Scheduling. This role is responsible for driving data-informed decision-making across workforce planning, forecasting, scheduling, and operation performance. The ideal candidate will bring a strong blend of strategic thinking, analytical expertise and team leadership to help optimize our workforce to deliver exceptional service outcomes.

Key Responsibilities

Strategic Leadership

• Develop and drive the long-term analytics strategy in support of workforce management goals, aligning closely with broader business objectives.
• Develop and execute an analytics roadmap aligned with corporate goals in for all Lines of Business under ACS.
• Partner with business leaders to define analytical priorities and identify opportunities to improve profitability, risk selection, and service delivery.
• Champion a data-driven culture, promoting the use of advanced analytics in everyday business decisions.

Team Management

Analytics Delivery

Operational Excellence

Minimum Qualifications

8+ years of experience in analytics, business intelligence, or data science with at least 3 years in a leadership role. Proven experience within the healthcare industry (e.g., UM / CM management, claims and appeals) Strong proficiency with data visualization and analytics tools (e.g., Tableau, Power BI, SQL, Python, SAS). Demonstrated ability to translate complex data into actionable business recommendations. Exceptional communication, leadership, and stakeholder management skills.

Preferred Qualifications

Experience working with large-scale insurance data sets (claims, enrollment, provider networks). Familiarity with predictive modeling, risk stratification, or member segmentation techniques. Understanding of insurance performance metrics (loss ratios, utilization rates, risk scores). Exposure to cloud data environments (AWS, Azure, GCP) and modern data pipelines.

Education

Bachelor's degree in Data Science, Statistics, Economics, Mathematics, Actuarial Science, or a related field; Master's preferred.

Pay Range

The typical pay range for this role is : $100,000.00 - $231,540.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people. We take pride in our comprehensive and competitive mix of pay and benefits investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include :

We anticipate the application window for this opening will close on : 12 / 19 / 2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex / gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.