Sr. Director, Data Science at Wellvana

Nashville, Tennessee, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Mar, 26

Salary

0.0

Posted On

18 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Predictive Modeling, Population Health, Risk Adjustment, Healthcare Analytics, Leadership, Communication, Stakeholder Management, Python, R, Machine Learning, Data Governance, Healthcare Data Sources, Value-Based Care, Problem Solving, Critical Thinking

Industry

Hospitals and Health Care

Description

Description Clarity on the Role: Wellvana is looking for a Sr. Director of Data Science to lead the development of data science capabilities that deliver actionable models to drive informed decision making by both internal and external partners in our value-based care contracts. This role requires expertise in identification and risk stratification, population health, value-based care, risk adjustment methodologies, and data analytics, as well as strong leadership, communication, and cross-functional collaboration. The Sr. Director of Data Science serves as the strategic and technical leader for all predictive modeling and advanced analytics supporting Medicare physician value-based care programs and will be instrumental in building an onshore and offshore team as we expand our business. Primary Job Duties & Responsibilities: Lead and execute the data science strategy for Medicare value-based care, focusing on risk identification, stratification, and predictive modeling Build, maintain and evaluate models for high-risk/rising-risk identification, avoidable utilization, chronic condition progression, and care-management prioritization Collaborate with clinical and operations teams to embed predictive insights into workflows and provider platforms. Oversee model governance, monitoring, and ML Ops pipelines to ensure reliability and scalability Manage data science talent, establish best practices, and guide execution across projects Work cross-functionally with clinical, analytics, actuarial, engineering, and partner success teams to support organizational goals Defines data science strategies and methodologies for specific projects, applying domain knowledge and expertise to drive impactful outcomes Conducts assessments for data science initiatives, such as identifying potential vulnerabilities, proposing mitigation strategies, and rationalization and selection of preferred AI/ML technology Manage team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development Stays abreast of industry trends and emerging technologies, continuously enhancing skills and knowledge to contribute effectively as an independent contributor in the field of data science Requirements What’s Required: Integrity: The right way is the only way. Dependability: You do what you say you’re going to do. Advocacy: You fight for the best possible outcome for providers and their patients. Clarity: You make it all understandable. Bachelor's degree in a quantitative field such as Actuarial Science, Statistics, Economics, or Mathematics. Advanced degree is a plus. 15+ years of experience in healthcare data science with deep knowledge of Medicare Advantage and value-based care. Proven success developing and operationalizing risk models. Strong leadership, communication, and stakeholder management skills. Expertise in Python or R, cloud-based ML platforms, and modern ML Ops practices. Extensive experience in healthcare analytics (10+ years), with a focus on population health management, value-based care, and risk adjustment The ideal candidate has worked previously with a healthcare payer or risk bearing entity Strong knowledge of healthcare data sources, including electronic health records (EHRs), claims data, social determinants of health (SDOH), CMS Virtual Research Data Center (VRDC) and other relevant data sets Deep understanding of value-based care models, including risk adjustment methodologies (e.g., HCC) Experience with healthcare analytics platforms and technologies, such as data warehouses, business intelligence tools, and machine learning frameworks Proven track record of driving successful analytics initiatives and achieving measurable outcomes in population health management and value-based care Strong leadership skills with the ability to effectively communicate complex analytics concepts to diverse audiences, including executive leadership, clinicians, and non-technical stakeholders Excellent problem-solving and critical thinking abilities Familiarity with healthcare regulatory and related requirements, such as HIPAA, PHI, HCC, ICD-10, etc. and a commitment to maintaining data privacy and security Familiarity with claims grouping software and output such as Optum Symmetry Groupers or Milliman HCG Groupers Preference given to Nashville based candidates or those open to relocating to Nashville

Responsibilities

The Sr. Director of Data Science will lead the data science strategy for Medicare value-based care, focusing on risk identification and predictive modeling. They will also manage data science talent and collaborate with various teams to support organizational goals.