Director, Data Platform Architecture & Ops

SCAN Health Insurance • Long Beach, CA

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About The Position

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.

Requirements

• 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 with Data Vault 2.0 modeling, dimensional modeling, and domain-driven design.
• Strong experience with Azure (ADF, Data Lake/OneLake, Databricks), Snowflake, CI/CD/DevOps, orchestrators, and metadata/catalog tools (e.g., Collibra).
• Deep understanding of healthcare payer data, CMS regulatory environments, and interoperability frameworks.
• Experience establishing semantic layers and implementing self-service analytics platforms.
• 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.

Nice To Haves

• Experience with DataOps frameworks and automated testing/observability for data pipelines preferred
• Exposure to MLOps and ML-ready architectures preferred
• Background partnering with actuarial, clinical, care management, network, and operations teams preferred
• Experience with modern transformation tools (e.g., Coalesce, dbt, or comparable) preferred
• Prior experience in Medicare Advantage, duals, or multi-line payer environments preferred

Responsibilities

• 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.
• Actively support the achievement of SCAN’s Vision and Goals.
• Other duties as assigned.

Benefits

• Base Pay Range: $147,900 to $254,798
• An annual employee bonus program
• Robust Wellness Program
• Generous paid-time-off (PTO)
• 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
• Excellent 401(k) Retirement Saving Plan with employer match
• Robust employee recognition program
• Tuition reimbursement
• An opportunity to become part of a team that makes a difference to our members and our community every day!
• A competitive compensation and benefits program;
• Excellent Retirement Savings program;
• A work-life balance;

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed