Chief Data Officer

Alignment Healthcare • Orange, CA

253d • $227,952 - $341,928

About The Position

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 VP, Enterprise Data Architecture designs and implements our AVA data strategy and architecture ensuring data is accessible, reliable (quality), and aligned with business needs focusing on data integration, governance, and compliance. Enterprise data architect provides expert support across the AVA enterprise information data model; data intake, data transformation, data quality, metadata and master data management, data virtualization, data services and consumption.

Requirements

• Minimum 10 years of progressive experience in data architecture, enterprise data integration, and database design.
• Minimum 2 years of experience working in a health plan, payer, or healthcare delivery system, including familiarity with claims data, EHRs, HEDIS, CMS, and HIPAA.
• Demonstrated experience leading AI- or ML-focused architecture initiatives, ideally in healthcare, fintech, or another regulated environment.
• Required: Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, or a related field.

Nice To Haves

• Preferred: Master's degree, MBA, or Ph.D. in the above areas with specialization in data strategy, AI/ML, or systems design.
• Certifications such as TOGAF, DAMA-CDMP, AWS Certified Data Analytics, or similar are preferred.

Responsibilities

• Develop, maintain and scale AVA's enterprise data architecture strategy, aligning with long-term business objectives, regulatory environments, and innovation priorities.
• Establish blueprints for hybrid data ecosystems that span operational systems, enterprise data warehouses, cloud-native platforms, and edge compute environments.
• Define reference architectures and reusable design patterns that support both legacy and cloud-native data application.
• Develop and implement enterprise-wide data architecture standards, policies, and best practices.
• Architect AI/ML-ready data pipelines, including real-time streaming, feature engineering, and data annotation processes.
• Collaborate with AI/ML teams to ensure model readiness, scalability, and compliance—including support for supervised, unsupervised, and generative learning systems to improve data accessibility, usability and adoption.
• Design systems to support domain-specific LLMs, chat-based AI assistants, and intelligent document processing tools.
• Identify opportunities to embed generative AI into clinical, operational, and member-facing workflows, including summarization, co-piloting, and content generation.
• Guide adoption of low-code/no-code tools that empower business users to use data, build logic, or co-create automation with minimal technical friction.
• Collaborate with HR, Ops, and L&D leaders to design systems that support knowledge management, intelligent upskilling, and augmented workforce tools.
• Lead the design and implementation of data models (conceptual, logical, physical) supporting operational reporting, advanced analytics, and AI initiatives.
• Oversee the integration of structured and unstructured data from internal systems, APIs, EHRs, claims, devices, and external sources.
• Champion data virtualization where appropriate to reduce redundancy and accelerate access to timely insights.
• Drive adoption of modern cloud-based data solutions, ensuring performance, security, and compliance.
• Develop and enforce enterprise data governance frameworks in coordination with compliance, security, and risk teams.
• Build data stewardship programs and implement tools to maintain high standards in data lineage, accuracy, completeness, and freshness.
• Ensure that data used for AI is explainable, secure, and aligned with enterprise ethical AI standards, including privacy and fairness.
• Serve as a senior data thought partner to leaders across clinical operations, population health, product, innovation, finance, and compliance.
• Work closely with business leaders, IT teams, and stakeholders to align data initiatives with business goals.
• Partner with the Chief Data & Analytics Officer (CDAO), VP of AI/ML, and Product Engineering to define enterprise-wide AI adoption roadmaps.
• Mentor junior architects and analysts in modern data architecture principles, engineering best practices, and AI design patterns.

Benefits

• Pay Range: $227,952.00 - $341,928.00

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree