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Lead Director, Data Science - Healthcare Analytics - Raleigh North Carolina
Company: Hispanic Alliance for Career Enhancement
Location: Raleigh, North Carolina
Posted On: 05/03/2025
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 SummaryA Brief OverviewCVS Health is seeking an experienced analytics leader to grow and direct a diverse and talented Data Science team. The A&BC organization focuses on solving some of the most challenging problems at the intersection of technology and healthcare. Leveraging advanced analytics, machine learning, modeling, and hypothesis-driven approaches, A&BC transforms data into actionable, customer-centric insights to drive growth, improve health outcomes, and expand access to healthcare across CVS Health's businesses.What you will do - Lead a team of analytic professionals to drive business value through data science solutions.
- Collaborate with stakeholders across the organization, including executives, clinicians, technology professionals, and business analysts, to understand business strategies and provide data-driven solutions.
- Provide thought leadership and guidance in developing analytic solutions and business insights for stakeholders.
- Define data science initiatives 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 standards by leveraging industry-leading tools, technologies, and best practices.
- Apply data science expertise and machine learning knowledge to enhance patient care, optimize healthcare operations, and support evidence-based decision-making.
- Develop and implement analytical frameworks, key metrics, and performance dashboards to monitor healthcare quality, efficiency, and performance.
- Deliver presentations and provide consultative services on data analytics results and solutions.
- Communicate with leaders to operationalize incremental KPIs that contribute to revenue and profitability targets.
- Establish and implement programs ensuring departmental adherence to data governance policies through education on data science best practices.
- Continuously evolve and deliver against an analytics roadmap aligned with business partners.Required Qualifications
- 10+ years of total business experience.
- 7+ years of experience with statistical concepts and advanced analytic techniques, including machine learning models (e.g., linear regression, decision trees, time series, random forests, NLP), generative AI, clustering, segmentation, customer lifetime value, A/B testing, etc.
- 5+ years of experience leading healthcare analytics projects from concept to delivery with measurable business impact.
- 5+ years managing multiple complex projects in deadline-driven environments, with proactive resolution of roadblocks.
- 5+ years of people management experience leading effective teams.
- 5+ years' experience with analytic tools such as Python and SQL.Preferred Qualifications
- Excellent analytical and problem-solving skills.
- Strong communication skills for presenting complex ideas to diverse audiences.
- Experience with Medical Economics and Trend Analytics.
- Self-motivated with keen attention to detail.
- Proficiency with Google Cloud Platform tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer.Education
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