Director of Architecture

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do. Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults. Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity. At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve. The Job The Director of Architecture is a senior leader responsible for modernizing and leading SCAN’s data ecosystem to support analytics, BI, data operations, and AI across the health plan. This leader brings deep architectural rigor, a cloud-first mindset, an appreciation for a DevSecOps approach, and a keen awareness for the strategic value of data, especially in a health care context. This leader will help guide the evolution of our platform toward a highly trusted, interoperable, and self-service-friendly environment—enabling teams across SCAN to unlock insights and support the mission of keeping seniors healthy and independent. You Will Strategic Leadership: Define and lead the architectural vision for the organization with a keen focus on technology integration, application modernization, and alignment with business strategies in the health plan ecosystem. Integration Expertise: Establish robust integration frameworks to ensure seamless interoperability between health plan applications, data systems, and external healthcare partners, meeting regulatory and compliance requirements. Application & Cloud Strategy: Guide the assessment, selection, design, and migration of applications to cloud-based solutions, ensuring scalability, operational efficiency, and alignment with the organization’s long-term technology goals. Emerging Technology Adoption: Stay ahead of technological trends in the healthcare landscape, strategically exploring and overseeing the implementation of new tools and technologies such as AI, data analytics, and cloud solutions to drive innovation. Collaboration & Governance: Collaborate with cross-functional teams to define and enforce architectural standards, best practices, and governance policies, ensuring agility, security, and a member-centric approach in all technology endeavors. We seek Rebels who are curious about AI and its power to transform how we operate and serve our members. Actively support the achievement of SCAN’s Vision and Goals. Other duties as assigned. Your Qualifications Bachelor's Degree or equivalent experience 10+ years in architecture roles with 5+ years managing high-performing technical teams. Proven leadership of enterprise-scale AI and cloud migrations Working knowledge of SAFe or similar scaled agile frameworks. Strong communication skills with the ability to translate technical detail into strategic impact for non-technical stakeholders. Experience with DataOps frameworks and automated testing/observability for data pipelines. Exposure to MLOps and ML-ready architectures. Technical Expertise: Deep Knowledge of Data Technologies: Proficiency in a wide range of data technologies, including data warehousing, data lakes, ETL/ELT processes, and data integration tools. Cloud Platform Expertise: Strong understanding and hands-on experience with cloud data platforms such as AWS, Azure, and Google Cloud, including services like S3, Redshift, Data Lake, and Data Warehouse. Data Modeling and Design: Advanced Data Modeling Skills: Expertise in designing complex data models and schemas to support various data use cases, including transactional, analytical, and operational needs. Data Design Best Practices: Knowledge of best practices in data design, including normalization, denormalization, and dimensional modeling. Communication and Documentation: Technical Communication: Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Documentation Skills: Proficiency in creating