Senior Director, Risk Adjustment Data & Analytics

🕒 May 1

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Logo of Alignment Health

Alignment Health

501 - 1000 employees

Founded 2013

⚕️ Healthcare Insurance

💰 $135M Series C on 2020-03

Healthcare Insurance • Insurance • Healthcare

Alignment Health is dedicated to providing comprehensive care for Medicare members, emphasizing the needs of seniors, the chronically ill, and those who are frail. With a mission to transform senior healthcare, Alignment Health leverages a tailored care model and advanced technology to deliver high-quality, low-cost healthcare services. Their 24/7 concierge care team collaborates with trusted local providers to ensure that every member receives personalized care, reflecting the company's commitment to treating all members as valued family members.

📋 Description

• Lead MRA Data Operations and Ecosystem Quality • Own the end-to-end MRA data ecosystem — spanning data ingestion, transformation, validation, reporting, and analytics across all Risk Adjustment programs • Drive Analytical Insights and Program Performance Reporting • Develop and maintain reporting and analytical frameworks that explain what happened, why it happened, and where to intervene across MRA programs • Ensure Audit Readiness, Data Governance, and Compliance • Establish and maintain rigorous data governance standards, controls, and documentation to ensure MRA data is audit-ready, reproducible, and defensible at all times • Partner Strategically with Finance, Actuarial, and Clinical Stakeholders • Serve as the primary MRA data partner to Finance and Actuarial teams, providing clarity on risk adjustment program performance, revenue impacts, and variance drivers • Direct and Develop the MRA Analytics Team • Lead, grow, and develop a multidisciplinary MRA data team spanning analytics, data science, and data engineering disciplines

🎯 Requirements

• 7–10 years of progressive experience in healthcare data, analytics, or data operations • Demonstrated experience leading or managing data teams responsible for regulated, audit-sensitive data environments • Proven experience partnering with cross-functional stakeholders including clinical, finance, actuarial, and compliance teams • Demonstrated ownership of complex, end-to-end data pipelines and analytical outputs in a healthcare or regulated industry setting • Bachelor's degree in Health Informatics, Data Science, Statistics, Computer Science, Mathematics, Healthcare Administration, or a related quantitative field; or an equivalent combination of education, certification, and direct work experience

🏖️ Benefits

• Health insurance • Retirement plans • Professional development opportunities

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