Director, Data Science

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.

The Director of Data Science enables our enterprise AI strategy and oversees the development of scalable machine learning and artificial intelligence solutions that power next-generation care delivery models for seniors. This role is accountable for creating innovative data science solutions that deliver measurable business impact, differentiate the organization in the market, and accelerate top-line growth. The Director combines deep technical expertise with strategic leadership to embed ML and AI capabilities into product design, business domains and continuously improving our data science fundamentals. And supports the company’s responsible use of AI that emphasizes our core values of Safety, Responsibility, Trust, Transparency, Fairness and Equity, and Empowerment.

Job Duties/Responsibilities: 

• Model Development 

• Develop and deploy scalable machine learning and AI solutions in production environments, ensuring performance and sustainability 

• Build and refine models for customer segmentation, risk prediction, clinical decision support, and other healthcare-specific use cases 

• Support cross-functional initiatives involving both traditional ML and emerging GenAI use cases 

• Statistical Rigor and Validation 

• Ensure rigorous use of statistical methods, reproducibility, and documentation across all projects 

• Design and implement statistical tests, A/B experiments, and performance monitoring strategies 

• Evaluate ML/AI models and products for fairness in output, targeting and actions 

• Cross Functional Collaboration 

• Partner with stakeholders to define problem statements, identify data sources, and design effective solutions 

• Build and maintain robust data pipelines, modeling workflows, and monitoring tools in collaboration with engineering and data platform teams 

• Partner with senior and executive leadership to define and advance the enterprise AI roadmap, identifying high-impact opportunities to embed ML and AI services into core business workflows 

• Team Development 

• Lead multiple high-impact data science projects across areas including Clinical, STARs, Risk Adjustment, Claims, Pharmacy, Marketing and Member Experiences 

• Manage and mentor a team of data scientists; provide technical guidance via review of code, models, and analytical approaches; foster professional growth; and drive a culture of experimentation and continuous learning 

Supervisory Requirements: 

Fulfill supervisory responsibilities in accordance with organization policies and applicable laws.  Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. 

 

Job Requirements: <