Director, Managed Care Analytics

University Health; San Antonio (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

University Health seeks a Director of Managed Care Analytics to lead payer analytics, contract modeling, and performance optimization. You will develop advanced financial, statistical, and predictive models to support contracting strategy, value-based care, and revenue optimization.

The role partners across finance, IT, patient services, and clinical operations to drive insight and strategic decisions. The ideal candidate has 8+ years in healthcare analytics with 3–5+ years in leadership, plus

Qualifications

• Bachelor's degree required in finance, healthcare administration, data analytics, statistics, or related field.
• 8+ years of progressive experience in healthcare analytics, decision support, or revenue cycle analytics.
• 3–5+ years in a leadership or management role.
• Experience leading payer contract modeling and supporting negotiation strategy.
• Experience with value-based care and alternative payment models.

Responsibilities

• Provide enterprise leadership for payer analytics, contract modeling, and performance optimization.
• Develop advanced financial, statistical, and predictive models to support managed care contracting strategy.
• Lead AI-enabled analytics initiatives with automation and machine learning.
• Collaborate cross-functionally to ensure data integrity, actionable insights, and strategic alignment.

Skills

Excel proficiency

Data modeling

Tableau proficiency

AI/ML awareness

Leadership

Education

Bachelor's degree in Finance, Healthcare Administration, Data Analytics, Statistics, or related field

Master's degree (MBA, MHA, Health Informatics, Data Science) preferred

Tools

Epic Resolute

Contract modeling tools

Healthcare data extraction tools

Job description

The Director, Managed Care Analytics serves as the enterprise leader for payer analytics, contract modeling, and contract performance optimization. This role is responsible for developing advanced financial, statistical, and predictive models to support managed care contracting strategy, value-based care performance, and revenue optimization. The Director transforms traditional analytics into a modern, AI-augmented decision capability leveraging automation, machine learning, and advanced data platforms to deliver predictive, prescriptive, and real-time insights across the payer lifecycle. This position collaborates cross-functionally with Patient Business Services, Revenue Integrity, Patient Access, Finance, clinical operations, and IT to ensure data integrity, actionable insights, and strategic alignment, and serves as a trusted advisor to the Vice President, Payer Relations. The Director also contributes to AI governance and the responsible use of data, ensuring transparency, compliance, and appropriate human oversight in analytic and decision-support processes.

EDUCATION/EXPERIENCE

Education

• Required: Bachelor's Degree in Finance, Healthcare Administration, Data Analytics, Statistics, or a related field.
• Preferred: Master's degree (MBA, MHA, Health Informatics, Data Science, or equivalent). Graduate-level preparation is strongly preferred for this enterprise analytics leadership role.

Experience

• 8 or more years of progressive experience in healthcare analytics, decision support, or revenue cycle analytics.
• 3 to 5 or more years in a leadership or management role.
• Demonstrated experience leading payer contract modeling and supporting negotiation strategy.
• Experience with value-based care and alternative payment models.
• Experience building or modernizing analytics capabilities preferred.

Technical and Functional Expertise

• Advanced proficiency in Excel and data modeling.
• Advanced proficiency in BI tools such as Tableau.
• Experience with healthcare data including claims, clinical records, and EHR data.
• Experience with contract modeling tools and systems.
• Working knowledge of AI applications in healthcare analytics.
• Working knowledge of predictive modeling.

Domain Knowledge

• Strong working knowledge of Medicare Advantage, Medicaid (including Texas programs), and commercial exchange products.
• Strong knowledge of reimbursement methodologies and contract structures.
• Familiarity with data integration challenges in healthcare.

LICENSURE

• HFMA certification preferred.
• Epic Resolute expected reimbursement certification required.