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Sr Manager, Data Science

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.

Position Summary
The Sr Mgr, DS role within CVS Health is on the front line of driving innovation and directly impacting business decisions. This role falls within the Finance Analytics team and will focus on leading an operations team that helps the PBM business meet its client and pharmacy financial guarantees. This team works on ML, forecasting, and optimization models (linear and mixed integer programming techniques) to optimize drug-level pricing tied to 95 million Americans. The models are designed to meet financial guarantees contracted by Caremark with its clients and pharmacy partners by optimizing drug prices while adhering to several regulatory and business constraints. The outcomes of these models (recommended drug prices) have delivered over $100M in value to Caremark.

Key Responsibilities:

Directs activities of data scientists, providing guidance, mentorship, and performance management to drive excellence in data science projects and deliverables.

Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics 

Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions 

Anticipates and prevents problems and roadblocks before they occur

Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources



Required Qualifications

Demonstrates strong ability to communicate technical concepts and implications to business partners

Ability to handle multiple, complex projects in a deadline-driven environment

Advanced degree in quantitative field

Excellent analytical and problem-solving skills

Strong oral and written communication skills

Minimum 3 years experience leading a team

Adept at execution and delivery (planning, delivering, and supporting) skills

Adept at business intelligence (knowledge of Tableau or similar)


Preferred Qualifications

  • High levels of self-motivation and attention to detail
  • Experience working in healthcare industry
  • Mastery of problem solving and decision making skills
  • Mastery of growth mindset (agility and developing yourself and others) skills
  • Experience with Agile Methodology
  • Education

  • Master degree or PhD in a quantitative field like Maths, Statistics, Information Systems, Computer Science, Data Science, etc.

Pay Range

The typical pay range for this role is:

$118,450.00 - $236,900.00


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: 04/22/2025

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

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Average salary estimate

$177675 / YEARLY (est.)
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$118450K
$236900K

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What You Should Know About Sr Manager, Data Science, CVS Health

At CVS Health, we’re on a mission to build a world of health that revolves around every consumer, and as the Sr Manager of Data Science, you have a pivotal role in that journey. Located in Dallas, TX, this position is all about innovation and making impactful business decisions. You’ll be leading an exceptional operations team within the Finance Analytics sector, focusing on the Pharmacy Benefit Management (PBM) business. Your team will employ machine learning, forecasting, and optimization models to ensure our clients meet their financial guarantees. With over 95 million Americans relying on our services, the work you do can deliver impressive financial value—over $100 million in drug pricing optimization alone! You'll not only guide and mentor your team of data scientists but also collaborate closely with business partners to address their challenges effectively. Your expertise in advanced analytics tools will help extract insights from enormous data sets to drive performance metrics. The role requires an advanced degree in a quantitative field and a passion for problem-solving. With a strong focus on communication and leadership, this position is perfect for someone ready to take their career to the next level. Here at CVS Health, we’re dedicated to caring for people in ways that are compassionate, convenient, and more connected than ever. Imagine being part of a team that not only understands the intricacies of the healthcare industry but also drives solutions that genuinely make a difference in lives across America.

Frequently Asked Questions (FAQs) for Sr Manager, Data Science Role at CVS Health
What are the responsibilities of a Sr Manager, Data Science at CVS Health?

The Sr Manager, Data Science at CVS Health is responsible for leading a team of data scientists to optimize drug pricing for 95 million Americans through machine learning and forecasting models. They collaborate with business partners, manage multiple projects, and develop predictive analytics to guide strategic decisions.

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What qualifications do I need to apply for the Sr Manager, Data Science role at CVS Health?

To apply for the Sr Manager, Data Science role at CVS Health, candidates should have an advanced degree in a quantitative field, significant experience leading teams, and strong analytical skills. Experience in the healthcare industry is preferred but not mandatory.

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How does CVS Health support their Sr Manager, Data Science in professional development?

CVS Health supports professional development for Sr Managers in Data Science through a culture of growth and mentorship. Programs and resources are provided to enhance skills, backed by leadership guidance to navigate complex scenarios and achieve individual professional goals.

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What tools and technologies should a Sr Manager, Data Science at CVS Health be familiar with?

A Sr Manager, Data Science at CVS Health should be proficient in advanced analytics tools and languages like Python, R, and SQL, as well as business intelligence platforms such as Tableau. Familiarity with machine learning algorithms and statistical techniques is also essential.

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What is CVS Health's approach to diversity and inclusion for the Sr Manager, Data Science position?

CVS Health emphasizes diversity and inclusion in its workplace culture. The company believes in valuing each colleague as an individual, fostering a collaborative environment where all voices are heard. They are committed to building teams that reflect the diverse communities they serve.

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Common Interview Questions for Sr Manager, Data Science
Can you explain a complex data science project you led and its impact?

To answer this question effectively, start by briefly describing the project's objective, your role, and the technologies used. Highlight the outcome achieved, such as improved efficiency or savings, while emphasizing the skills you utilized in managing the team and navigating challenges.

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What machine learning techniques do you find most effective for predictive modeling?

Discuss techniques that you've used successfully, such as regression analysis, decision trees, or neural networks. Provide examples of when you applied these in projects, emphasizing the results and how they guided business decisions.

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How do you ensure your data-driven recommendations align with business objectives?

Focus on your approach to collaboration with stakeholders, and how you cultivate an understanding of their needs. Explain how you frame insights to align with strategic goals, emphasizing your communication skills in translating complex data into actionable business strategies.

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Describe your experience with mentoring and developing a data science team.

Highlight your mentorship philosophy and specific examples of how you've supported team development. Discuss the importance of fostering a learning environment, providing constructive feedback, and encouraging team members to enhance their skills.

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What challenges have you faced in data analysis and how did you overcome them?

Reflect on a specific challenge, such as dealing with incomplete data or resistance to change from stakeholders. Describe the steps you took to resolve the issue, emphasizing your problem-solving approach and any innovative solutions you implemented.

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How do you stay updated with trends in data science and analytics?

Discuss your methods for staying informed, such as subscribing to industry journals, attending conferences, or participating in online courses. Highlight how you apply new knowledge to improve your team's practices and the outcomes of your projects.

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Can you give an example of how you've used data to drive decision-making?

Provide a specific scenario where data analysis significantly influenced strategic decisions within the company. Discuss the metrics or insights that led to a particular outcome and your role in conveying this information to stakeholders.

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What role does communication play in your data science projects?

Emphasize the importance of communication in data science—how you translate technical findings for non-technical audiences, keep stakeholder informed throughout the project, and ensure that the insights made are actionable.

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How do you handle competing priorities and tight deadlines?

Discuss your prioritization strategies, such as using project management tools or methods like Agile. Provide an example where you successfully balanced multiple projects, demonstrating your ability to remain organized and focused under pressure.

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What steps do you take to validate the accuracy of your models?

Explain your validation process, including techniques like cross-validation, parameter tuning, or using test datasets. Emphasize the importance of ensuring that your models are accurate and reliable before implementing them in real-world scenarios.

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We help people with their health wherever and whenever they need us. And we do it with heart. Because our passion is our purpose: Bringing our heart to every moment of your health™.

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Full-time, on-site
DATE POSTED
April 20, 2025

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