Enterprise Data Architect

Job Description

JOB SUMMARY :

The Enterprise Data Architect provides strategic and technical leadership for the design, governance, and evolution of the organization’s enterprise data ecosystem. This role serves as the senior authority on data architecture during large-scale enterprise system implementations and defines the long-term data strategy to enable analytics, interoperability, and regulatory compliance across the health plan.

The architect ensures the enterprise’s data platforms are modern, scalable, secure, and aligned with business goals—enabling accurate, real-time, and trusted data to drive operational excellence, member outcomes, and organizational insight.

KEY RESPONSIBILITIES :

• Develop and maintain the Enterprise Data Architecture Blueprint, covering data domains, integration patterns, metadata, and master data management.
• Establish the enterprise data strategy aligned with business and regulatory objectives—balancing modernization (e.g., cloud adoption, real-time data) with operational continuity.
• Partner with the Enterprise Architecture Team, PMO and Business Intelligence to ensure architectural consistency across systems (adjudication, provider, member, finance, analytics, CRM, etc.).
• Define the future-state architecture leveraging modern data platforms (e.g., Azure, Databricks) and emerging interoperability frameworks (FHIR, APIs, event streaming).
• Serve as the lead data architect for the enterprise platform implementation (e.g., migration from legacy core system to new adjudication platform).
• Oversee data migration and integration strategy, including mapping, quality controls, and validation between legacy and new systems.
• Guide data engineering teams in building pipelines, warehouses, and marts aligned to architecture standards.
• Direct data modeling efforts—conceptual, logical, and physical—ensuring consistency and reusability across domains.
• Participate in the Data Governance Committee in partnership with Compliance and Analytics leadership.
• Define enterprise policies for data quality, stewardship, access control, and retention, ensuring alignment with HIPAA, SOC 2, CMS, and NIST frameworks.
• Collaborate with the Chief Compliance Officer to ensure PHI / PII protection and privacy-by-design principles in all data workflows.
• Support the development of the enterprise data warehouse and self-service analytics ecosystem.
• Partner with business intelligence and actuarial teams to enable trusted data assets for analytics, reporting, and AI / ML use cases.
• Provide architectural oversight for predictive and generative AI initiatives, ensuring responsible data use and model governance.
• Mentor data engineers, modelers, and analysts, fostering a data-driven culture.
• Translate complex technical architectures into executive-level strategy presentations.
• Partner cross-functionally with Operations, Finance, Clinical, and IT to ensure data supports enterprise KPIs and value-based care initiatives.
• Performs other job related duties as assigned.

QUALIFICATIONS :

EDUCATION / EXPERIENCE :