Lead Director, Data Science - Retail Pharmacy Analytics

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, GCP, …) 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