Senior Manager-Quality HEDIS Forecast Analysis at CVS Health

São Paulo, São Paulo, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

284280.0

Posted On

11 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Forecasting, Predictive Modeling, Time-Series Modeling, Machine Learning, MLOps, Python, SQL, Statistical Analysis, Deep Learning, Collaboration, Problem Solving, Decision Making, Mentoring, Data Management, Data-Driven Insights, Healthcare Quality Metrics

Industry

Hospitals and Health Care

Description

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. 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. What you will do 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,) Performs code reviews and enforces coding standards, based on company and industry requirements, across the development teams. Identifies and mitigates technical risks, proactively addressing potential issues and challenges that may impact project success or data integrity. Decides upon adoption of industry-standard data and advanced analytics capabilities by leveraging existing services and identifying industry-leading services. Communicates complex analytical results to technical and non-technical leaders and stakeholders in a clear and concise manner to inform relevant parties of the developments within the Data Engineering department. Collaborates with cross-functional teams, including product management, UX (user experience) and UI (user interface) designers, and business stakeholders, to define requirements and translate them into technical specifications and deliverables. Mentors data analysts, fostering their professional growth and technical expertise to identify skill gaps, subsequently providing training opportunities to enhance team capabilities. Provides strong hands-on leadership and guidance to a team of data analysts and data engineers, fostering a collaborative and high-performing environment. Contributes to a motivated work environment by working effectively to achieve common goals. Under general direction, independently executes analyses and/or provides guidance to junior data analysts to meet business needs. For this role you will need Minimum Requirements 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 Education Bachelor's degree in STEM, Statistics, Data Science or equivalent job experience. Master’s degree (preferred) Pay Range The typical pay range for this role is: $106,605.00 - $284,280.00 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: 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. For more information, visit https://jobs.cvshealth.com/us/en/benefits 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. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

Responsibilities

The role involves building, optimizing, and deploying forecasting models while applying advanced statistical analysis to healthcare quality metrics. It also includes mentoring data analysts and collaborating with cross-functional teams to define requirements and deliverables.