Description

• Define and maintain the enterprise technology vision aligned to business goals and growth strategy.
• Develop and govern 1-year, 3-year, and 5-year enterprise architecture roadmaps.
• Establish target-state architectures across data, integration, analytics, cloud, and AI platforms.
• Identify modernization opportunities and prioritize strategic technology investments.
• Develop architecture principles, standards, reference architectures, and technology blueprints.
• Drive alignment across business, product, engineering, operations, and security functions.

Data & Platform Architecture Leadership

• Lead enterprise data architecture strategy across healthcare, claims, provider, payer, clinical, and financial domains.
• Design scalable, cloud-native data platforms supporting operational reporting, analytics, AI/ML, and self-service data consumption.
• Define enterprise data models, canonical business entities, and data standards.
• Establish strategies for:
  • Data Lakehouse Architecture
  • Data Mesh
  • Semantic Layer Design
  • Master Data Management (MDM)
  • Metadata and Catalog Management
• Drive enterprise-wide data governance, lineage, quality, and stewardship initiatives.
• Architect modern data platforms leveraging OCI, Databricks, Delta Lake, and related technologies.

Healthcare Data & Interoperability

• Define architecture patterns supporting healthcare interoperability and data exchange.
• Provide leadership across:
  • EDI 835 & EDI 837 Transactions
  • HL7 Integration
  • FHIR-based APIs and Data Exchange
  • Claims and Revenue Cycle Platforms
  • Denial Management Solutions
  • Provider and Payer Analytics
• Ensure enterprise data models support evolving business and regulatory requirements.
• Drive interoperability strategies that improve data accessibility, quality, and operational efficiency.

AI, Analytics & Digital Transformation

• Define enterprise analytics and AI strategy aligned to business outcomes.
• Establish architecture frameworks for:
  • Data Products
  • Predictive Analytics
  • AI/ML Platforms
  • Generative AI Solutions
  • Self-Service Analytics
• Identify opportunities to improve operational efficiency through automation and AI-driven capabilities.
• Guide technology adoption and modernization across the organization.

Architecture Governance & Technology Leadership

• Establish enterprise architecture governance processes and decision frameworks.
• Review and approve strategic solution architectures and major technology investments.
• Evaluate emerging technologies and define adoption strategies.
• Partner with executive leadership to assess risks, opportunities, and strategic priorities.
• Mentor architects and engineering leaders on enterprise architecture best practices.
• Lead cross-functional architecture councils and technology review boards.
• Present architecture strategy, roadmaps, and transformation plans to senior executives.

Required Qualifications

Experience

• 15+ years of experience in Enterprise Architecture, Data Architecture, Platform Architecture, or related leadership roles.
• 10+ years leading large-scale data, platform, or digital transformation programs.
• Demonstrated experience defining enterprise technology strategy and architecture roadmaps.
• Proven success designing and implementing modern healthcare, payer, insurance, or revenue cycle platforms.
• Experience influencing executive stakeholders and leading enterprise-wide technology decisions.

Technical ExpertiseCloud & Data Platforms

• Oracle Cloud Infrastructure (OCI)
• Oracle Integration Cloud (OIC)
• OCI Autonomous Data Warehouse
• OCI Data Flows
• Databricks
• Delta Lake
• Enterprise Data Warehousing

Data Architecture

• Data Lakehouse Architecture
• Data Modeling
• Semantic Layer Design
• Data Mesh
• Metadata Management
• Master Data Management (MDM)

Integration & Interoperability

• API Architecture
• Event-Driven Architecture
• Apache Kafka
• FHIR
• HL7
• EDI 835/837
• Canonical Data Models

Governance & Security

• Data Governance
• Data Quality & Lineage
• Security Architecture
• HIPAA Compliance
• Enterprise Risk and Controls

Preferred Qualifications

• Healthcare payer, provider, RCM, or healthcare technology industry experience.
• Experience with AI/ML and modern data product operating models.
• Exposure to Generative AI platforms and enterprise AI governance frameworks.
• TOGAF, Zachman, or equivalent enterprise architecture certifications.
• Experience building executive-level business cases and technology investment strategies

Key Skills

Education

Bachelor's degree