Lead Director, Data Science - Retail Pharmacy Analytics

  • Wellesley, MA
  • Posted 60+ days ago | Updated moments ago

Overview

Remote
On Site
USD 144,200.00 - 288,400.00 per year
Full Time

Skills

Roadmaps
Innovation
Quality Improvement
Optimization
Collaboration
Strategy Development
Retail
Pharmacy
Testing
Artificial Intelligence
Mentorship
Knowledge Sharing
Accountability
Software Development
Software Development Methodology
Agile
Leadership
Health Care
Organizational Skills
Communication
Data Modeling
SQL
Tableau
Analytical Skill
Analytics
Data Skills
Training
Data Analysis
Visualization
Google Cloud Platform
Google Cloud
Python
R
TensorFlow
Data Science
Data Management
Reporting
Machine Learning (ML)
Real-time
Cloud Computing
Microsoft Azure
Amazon Web Services
Apache Spark
Project Management
HIS
Attention To Detail
Legal
Regulatory Compliance
HIPAA
Statistics
Computer Science
Mathematics
Management
Finance
Coaching

Job Details

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 Retail Pharmacy Analytics team maintains industry-leading analytical solutions to enable a roadmap that drives the technology development & innovation, while delivering high-quality and high-value solutions. This position will be reporting to the Executive Director - Patient Safety and Pharmacy Operations Analytics.

The candidate will drive analytical solutions and processes designed to support the dispensing of controlled across 9000+ pharmacy locations. An ideal candidate within this role will be required to lead, train, and develop a team of data scientists who will be responsible for maintaining current processes as well as fostering innovative solutions to drive continuous quality improvement within our retail business units. Prevention of patient safety events and drive operation optimization via analytically driven solutions powered by AI/ML will be the foundation of this team's purpose.

This person will collaborate with business leaders and partners to help inform strategy development, prioritization of analytic efforts, and formulation of specific workplans and projects to execute across the retail pharmacy chain. This individual must be able to effectively influence and communicate with non-technical audience using facts and well-reasoned cases.

Responsibilities include
  • Lead initiatives to improve patient safety & pharmacy operations and innovate on solutions using both descriptive and AI/ ML techniques.
  • Leverage technology depth to engage with key leaders across the enterprise to identify new applications of artificial intelligence in patient safety and operational topics
  • Input business requirements from various stakeholders, lead analysis of vast amounts of data and in turn synthesize strategies and tactics to solve complex problems
  • Conduct or coordinate appropriate testing of analytic solutions including, machine learning and artificial intelligence, to ensure results are consistent with business requirements
  • Develop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership
  • Develop and mentor data scientists, contribute to their learning and training agenda, knowledge sharing, and provide input on technology stack

Required Qualifications
  • 6+ years of experience leading and inspiring high-performance teams. Provides timely and periodic feedback to direct reports and holds them accountable for achieving quality results
  • Ability to think strategically; including defining objectives, analyzing the key elements, managing budgetary implications, evaluating the risk, and developing framework to achieve success
  • 8+ years' experience with the Software Development Lifecycle (SDLC) and agile development, including giving business requirements focused on data and analytics
  • Strong leadership skills, strategic mindset and experience leading highly technical teams focused on deploying data and analytics solutions in healthcare
  • Strong organizational skills. Ability to work on multiple tasks in parallel and consistently prioritize key objectives.
  • Ability to engage with senior business stakeholders, execute level communication and influencing skills
  • Deep experience with data modeling/analytics with SQL, Python, Tableau and/or other advanced analytical tools
  • Highly motivated individual to work in an extremely fast paced environment both individually and with a team.

Preferred Qualifications
  • Strong analytics and data skills including solid training in statistics and data analysis, understanding of data management and visualization, ability to interpret outcomes of machine learning models
  • Prior experience using and managing projects leveraging Cloud (Azure, Google Cloud Platform, ...) technologies.
  • Expert level programming skills in Python, R, TensorFlow, or other data science environment; robust data management and reporting skills, understanding of deploying machine learning models in real time production environments including cloud (Azure, AWS), Spark-based systems, etc.
  • Excellent project management skills with ability to lead and engage in multiple projects and initiatives and appropriately, prioritize her/his own time as well as that of the direct reports, and adjust priorities as needed to meet deadlines.
  • Highest level of attention to detail when working within legal and compliance regulations, primarily around HIPAA, patient safety work product, and attorney/client privilege while working with sensitive, confidential, and protected data.

Education
  • Bachelor's Degree required
  • Advanced degree majoring in Statistics, Computer Science, Mathematics, or related STEM field a plus

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

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 ;br>
We anticipate the application window for this opening will close on: 06/30/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.