Senior Manager-Quality HEDIS Forecast Analysis

CVS Health

6d

About The Position

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.

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
• Bachelor's degree in STEM, Statistics, Data Science or equivalent job experience.

Nice To Haves

• Master’s degree (preferred)

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees