Director, Data Platform Architecture & Ops

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 Data Architecture & Engineering 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

• Drive the enterprise data architecture vision and roadmap, ensuring platform design directly supports business, clinical, operational, and regulatory priorities across the health plan.
• Direct cloud data platform modernization, including the migration of legacy systems into a scalable Snowflake-based architecture on Azure, with a strong focus on security, performance, cost management, and HIPAA/CMS compliance.
• Establish enterprise data modeling standards applying Data Vault 2.0, domain-driven design, and dimensional modeling, and lead design & delivery of high-quality data pipelines using modern tools (Snowflake, ADF, Databricks, Coalesce) and best practices for orchestration, testing, observability, version control, and deployment automation.
• Implement and steward semantic layers and self-service frameworks, enabling governed access to trusted metrics, curated subject areas, and reusable data products across analytics, clinical, actuarial, and operational teams.
• Provide deep healthcare payer data expertise, shaping solutions across (among other areas) eligibility, claims, quality, UM/CM, contract reporting, network, MedEcon, and regulatory requirements.
• Guide teams to adopt SAFe agile frameworks, supporting PI planning, backlog refinement, dependency management, and iterative delivery while fostering transparency and predictable velocity.
• Embed DevOps and DataOps practices into engineering workflows, including CI/CD pipelines, automated testing, code reviews, infrastructure-as-code, pipeline observability, and continuous improvement of deployment speed and stability.
• Provide executive oversight of production data issues, platform reliability, and incident response, ensuring root-cause analysis, durable fixes, transparent communication, and continuous improvement of stability, data quality, and system uptime.
• Oversee the design, governance, and deployment of enterprise BI tools and reporting platforms, ensuring consistent semantic definitions, scalable data delivery patterns, and reliable access to dashboards, curated data marts, and productionized analytics across the organization. 
• Lead enterprise data de-identification, masking, and privacy-preserving data practices, ensuring PHI and PII protections are embedded into platform design, pipeline development, data sharing workflows, and all downstream analytics in alignment with HIPAA, CMS, and internal InfoSec policies.

• 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

• 10+ years in data engineering, data architecture, or analytics platform roles, with 5+ years managing high-performing technical teams.
• Proven leadership of enterprise-scale cloud migrations, ideally into Snowflake.
• Hands-on expertise w