Lead Director – Data Science – Healthcare Analytics
| Company | CVS Health |
|---|---|
| Location | Kansas, USA, Pennsylvania, USA, Delaware, USA, Iowa, USA, Washington, DC, USA, Vermont, USA, Texas, USA, Jackson Township, NJ, USA, Florida, USA, Waterbury, CT, USA, South Carolina, USA, Georgia, USA, Concord, NH, USA, Mississippi, USA, Tennessee, USA, Virginia, USA, Arkansas, USA, Minnesota, USA, Nebraska, USA, Rhode Island, USA, Kentucky, USA, West Virginia, USA, New York, NY, USA, Maryland, USA, Wisconsin, USA, Maine, USA, Massachusetts, USA, North Carolina, USA, Oklahoma, USA, Missouri, USA, Ohio, USA, Indiana, USA, Louisiana, USA, Michigan, USA, Illinois, USA, Alabama, USA |
| Salary | $144200 – $288400 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 10 + years total business experience
- 7+ years’ experience with statistical concepts and advanced analytic techniques, such machine learning models (e.g., linear regression, tree-based non-linear, time series, random forests, natural language processing (NLP)), generative AI (Gen AI), clustering and segmentation, customer lifetime value, A/B testing, etc. to extract insights from text data
- 5+ years of business experience leading Healthcare analytic projects and initiatives from concept to delivery, coordinating across diverse stakeholder groups with track record of business impact
- 5+ years’ experience handling multiple, complex projects in a deadline-driven environment, anticipating and preventing roadblocks throughout a project lifecycle and driving resolution/mitigation
- 5+ years of people management experience, leading highly effective and engaged teams
- 5+ years’ experience with analytic and modeling tools and software, such as Python and SQL
Responsibilities
- Lead a team of analytic professionals in driving business value through data science solutions
- Collaborate with stakeholders across the organization, including executives, clinicians, technology professionals, and business analysts, to understand business strategy and provide data-driven solutions
- Provide thought leadership and guidance in the development of analytic solutions and business insights for stakeholders
- Define data science initiatives by utilizing data mining, data modeling, large language models, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions
- Design and develop data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices to profile and translate data
- Apply data science expertise and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making
- Develop and implement analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance
- Deliver presentations and consultative services to existing and prospective constituents on data analytics results and solutions
- Communicate with leaders to introduce and operationalize incremental KPIs that contribute to the company’s overall revenue and profitability targets
- Help establish and implement programs that ensure departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices
- Continually evolve and ensure delivery against an analytics roadmap aligned with business partners
Preferred Qualifications
- Excellent analytical and problem-solving skills
- Strong written and verbal communication skills, including the ability to present complex ideas to various audiences
- Experience with Medical Economics and Trend Analytics
- Highly self-motivated and attentive to detail
- Proficiency with Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer