Principal, Population Health Analytics

WellMed Optum Florida; Tampa (FL); On-site; USD 180,000 - 240,000; Full time

Job summary

WellMed Optum Florida is seeking a Principal, Population Health Analytics to shape analytical strategy that improves patient outcomes and supports high-quality care across Medicare Advantage and value-based programs.

As a senior individual contributor and strategic advisor, you will translate complex healthcare data into actionable insights, partner with executives, identify at-risk populations, and advance predictive analytics and AI in clinical workflows.

Qualifications

• Bachelor’s degree or higher in analytics, statistics, data science, public health, health informatics, or related field.
• 10+ years of healthcare analytics experience, including 5+ years in population health/value-based care analytics at senior/lead level.
• Proven success leading analytics initiatives that improve outcomes, quality, utilization, or cost.
• Deep experience with clinical, claims, utilization, pharmacy, and quality data.
• Expert SQL and advanced Python or R skills.
• Hands-on experience developing risk stratification and predictive models with solid statistical methods.
• Strong knowledge of HEDIS, CMS Star Ratings, care gaps, risk adjustment, and population health.
• Ability to communicate complex findings clearly to executives and influence decisions.

Responsibilities

• Lead the population health analytics roadmap aligned with clinical, quality, and business priorities.
• Develop risk stratification and patient segmentation for care management and interventions.
• Evaluate clinical programs to measure outcomes, utilization, cost, and ROI.
• Guide analytics for care-gap closure and value-based payment programs.
• Advance predictive modeling and responsible AI to support clinical decisions.
• Establish data definitions, analytics standards, and executive reporting.
• Serve as advisor to senior leaders, mentor analysts, and lead cross-functional initiatives.

Skills

SQL

Python

R

Population health analytics

Stakeholder communication

Education

Bachelor’s degree in Analytics/Statistics/Public Health

Advanced degree preferred

Tools

Snowflake

eClinicalWorks

Job description

WellMed Optum Florida is seeking a Principal, Population Health Analytics to shape the analytical strategy that improves patient outcomes, strengthens quality performance, and supports effective care delivery across Medicare Advantage and value-based care populations.

As a senior individual contributor and strategic advisor, the Principal will translate complex healthcare data into actionable insights that guide clinical programs, operational priorities, and investment decisions. This role partners with executive and clinical leaders to identify at-risk populations, evaluate interventions, and advance the responsible use of predictive analytics and AI.

Key Responsibilities

• Lead the population health analytics roadmap, aligning initiatives with enterprise clinical, quality, and business priorities.
• Develop risk stratification and patient segmentation approaches to guide care management and targeted interventions.
• Evaluate clinical programs to measure outcomes, utilization, financial impact, and return on investment.
• Guide analytics for care-gap closure, HEDIS, CMS Star Ratings, and avoidable utilization.
• Advance predictive modeling and responsible AI to support clinical decisions and care delivery.
• Establish trusted data definitions, analytical standards, and executive reporting.
• Serve as an advisor to senior leaders, mentor analysts, and lead complex initiatives across functions.

Qualifications

• Bachelor’s degree in Analytics, Statistics, Data Science, Public Health, Health Informatics, or a related field; advanced degree strongly preferred.
• 10+ years of healthcare analytics experience, including 5+ years in population health, quality, or value-based care analytics at a senior or lead level.
• Demonstrated success leading analytical initiatives that improve outcomes, quality, utilization, or cost.
• Deep experience working with clinical, claims, utilization, pharmacy, and quality data.
• Expert SQL skills and advanced proficiency in Python or R.
• Hands‑on experience developing risk stratification and predictive models, with strong knowledge of statistical methods and program evaluation.
• Strong knowledge of HEDIS, CMS Star Ratings, care gaps, risk adjustment, and population health.
• Ability to communicate complex findings clearly, influence executive decisions, and develop analytical talent.

Experience with Medicare Advantage, ACOs, or risk‑based care delivery is strongly preferred. Experience with Snowflake, eClinicalWorks, and deploying predictive models into clinical workflows is also preferred. Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.