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CVS Health

Lead Director - Analytics & Scheduling

CVS Health, Austin, Texas, us, 78716

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Lead Director - Analytics & Scheduling CVS Health – Lead Director - Analytics & Scheduling, fully remote, open to any contiguous United States.

We’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues passionate about transforming health care. As the nation’s leading health solutions company, we reach millions through local presence, digital channels, and over 300,000 purpose‑driven colleagues.

Key Responsibilities

Strategic Leadership

Develop and drive the long‑term analytics strategy to support workforce management goals.

Execute an analytics roadmap aligned with corporate goals 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 and promote the use of advanced analytics in everyday business decisions.

Team Management

Manage team performance through regular feedback and formal performance reviews.

Lead, mentor, and develop a high‑performing team of analysts, data scientists, and reporting specialists.

Foster collaboration across actuarial, product, and operations teams to ensure alignment and impact.

Manage resource planning, workload distribution, and skill development initiatives.

Analytics Delivery

Establish workforce management strategies using patient volume data, acuity, and other factors to meet scheduling needs.

Develop methodology to allocate employees across shifts based on skills, availability, workload, and labor regulations.

Define programs that monitor real‑time adherence to schedules and address deviations.

Design KPIs for organization schedule adherence, attendance, absenteeism, and productivity rates.

Develop a monitoring team for real‑time data on patient volume, staffing needs, and operational factors.

Oversee initiatives that streamline scheduling practices, reduce costs, and improve resource utilization.

Oversee design, development, and deployment of dashboards, predictive models, and decision‑support tools.

Drive automation and scalability through modern data tools and platforms.

Operational Excellence

Establish and monitor key performance indicators for business and team success.

Ensure analytical outputs are accurate, timely, and actionable with clear storytelling for non‑technical audiences.

Ensure compliance with data governance, privacy, and regulatory standards within the insurance industry.

Continuously improve analytical processes and methodologies for greater speed, accuracy, and impact.

Minimum Qualifications

8+ years of experience in analytics, business intelligence, or data science; 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 (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 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 related; Master’s preferred.

Pay Range $100,000.00 – $231,540.00. This represents the base salary for the position. The actual offer may vary based on experience, education, geography, and other factors. Eligible for bonus, commission or short‑term incentive programs and equity award program.

Benefits

Affordable medical plan options, 401(k) plan with company match, employee stock purchase plan.

No‑cost programs: wellness screenings, tobacco cessation, weight management, confidential counseling, financial coaching.

Benefit solutions addressing varied needs: paid time off, flexible schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access, and more.

Equal Opportunity Statement Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws.

Application deadline: December 19, 2025.

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