Chief Population Health Officer

Job Summary

The Chief Population Health Officer serves as a system-wide clinical leader focused on transforming care delivery, improving outcomes, and reducing total cost of care. Leveraging Geisinger’s unique integrated payer-provider ecosystem, this leader will architect the next generation of value-based care. This role will partner across the enterprise to design tech-enabled care models, strengthen value-based performance, and lead innovative population health strategies, furthering Geisinger as a national leader in scalable population health innovation.

The Chief Population Health Officer will collaborate across the health system to refine programs, launch new clinical models, and oversee medical cost initiatives that deliver measurable improvements for patients and populations. Key partnerships include a dyad with the VP Population Health, and collaboration with Clinical Institutes, Home-Based Services, Health Plan Leadership, Risk Adjustment, HEDIS, and Quality and Safety teams. The role reports to the EVP, Chief Medical Officer Geisinger.

• Lead development of clinical programs aligned with value-based care and population health.
• Align clinical capabilities with health plan initiatives through close partnership with Geisinger Health Plan CMO, quality, and product teams.
• Promote integration of clinical services, care management, and patient-centered care with Institute leaders and Hospital CMOs.
• Partner to help spearhead the operationalization of AI and predictive analytics within clinical and population health workflows. Moving beyond retrospective reporting to deploy real-time, AI-driven risk stratification and actions.
• Serve as a strategic bridge between Clinical Enterprise and Geisinger Health Plan (GHP) to co-design shared-risk models. You will partner to utilize our closed-loop data environment to rapidly pilot, validate, and scale reimbursement structures that reward true health outcomes rather than volume.
• Identify and implement new funding sources and payment models.
• Monitor and improve performance metrics (HEDIS, CMS Star Ratings, risk adjustment).
• Drive the 'Total Cost of Care' strategy by identifying unnecessary utilization and architecting upstream interventions, leveraging home-based care and digital health, to shift care to the most appropriate, cost-effective setting.
• Design and implement programs for prevention, chronic disease management, and health equity.
• Use and refine analytics to identify care gaps, stratify risk, and guide interventions for high-risk populations and provide feedback at the point of care.
• Optimize workflows for high-value, equitable care in collaboration with clinical and operational teams.
• Engage providers in value-based initiatives through effective communication strategies.
• Foster a culture of high reliability, continuous improvement, and accountability.
• Oversee clinical and financial performance of value-based programs for Geisinger Clinic.
• Support budgeting and financial planning for quality and population health initiatives.

• MD or DO;
  Board Certification; eligible for PA medical license.
• Minimum 7 years clinical practice and 3+ years in leadership roles focused on quality, care redesign, and population health.
• Demonstrated success in population health strategies under value-based agreements.
• Experience with value-based reimbursement models and program design.
• Expertise in ambulatory care model development, CMS/CMMI partnerships, and behavior change toolkits for clinical teams.
• Proficiency in performance improvement methodologies (e.g., High Reliability, IHI, Utilization Management).
• Knowledge of national trends in population health and value-based payment models.
• Innovative mindset and adaptability in dynamic environments.
• Experience deploying a behavior change toolkit for clinical teams to succeed in value-based initiatives, including:
• Analytic insights that contextualize provider and clinic-level performance and surface opportunities for improvement
• Education on new workflows and deployment of decision support tools
• Provider incentive design (monetary and non-monetary) to drive adoption
• Best…