Senior Manager-Quality HEDIS Forecast Analysis

Senior Manager‑Quality HEDIS Forecast Analysis A Brief Overview

Leverages technology and data to improve healthcare outcomes by designing, implementing, and maintaining health information systems, analyzing healthcare data, and utilizing technology to support time-series modeling, machine learning, and MLOps practices.

Applies expertise in healthcare and information technology to ensure efficient data management, promote data-driven insights, and enhance the delivery of healthcare services.

• Build, optimize, and deploy forecasting models using time-series modeling, machine learning, and MLOps practices.
• Apply advanced modeling and statistical analysis to healthcare quality metrics spanning NCQA HEDIS measures and CMS Clinical Stars.
• Apply advanced statistical, machine learning, and deep learning methods (e.g., ARIMA, Prophet, gradient boosting).
• Perform code reviews and enforce coding standards based on company and industry requirements across development teams.
• Identify and mitigate technical risks by proactively addressing potential issues and challenges that may impact project success or data integrity.
• Decide upon adoption of industry-standard data and advanced analytics capabilities by leveraging existing services and identifying industry-leading services.
• Communicate complex analytical results to technical and non-technical leaders and stakeholders in a clear and concise manner to inform relevant parties of developments within the Data Engineering department.
• Collaborate with cross-functional teams, including product management, UX and UI designers, and business stakeholders, to define requirements and translate them into technical specifications and deliverables.
• Mentor data analysts, fostering their professional growth and technical expertise to identify skill gaps and provide training opportunities to enhance team capabilities.
• Provide strong hands‑on leadership and guidance to a team of data analysts and data engineers, fostering a collaborative and high‑performing environment.
• Contribute to a motivated work environment by working effectively to achieve common goals.
• Independently execute analyses and/or provide guidance to junior data analysts to meet business needs.

• 7-10 years work experience
• 4+ years of forecasting, or applied predictive modeling
• 4+ years of experience building and deploying time-series forecasting models using methods such as ARIMA, Holt‑Winters exponential smoothing
• 4+ years of experience with Python and SQL for large‑scale data processing
• 3+ years of experience with MLOps tools and practices
• Adept at problem solving and decision making skills
• Adept at collaboration and teamwork
• Adept at growth mindset (agility and developing yourself and others) skills
• Adept at execution and delivery (planning, delivering, and supporting) skills
• Adept at business intelligence

• Bachelor's degree in STEM, Statistics, Data Science or equivalent job experience.
• Master’s degree (preferred)

$ - $

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.

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:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

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We anticipate the application window for this opening will close on: 01/16/2026

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