Senior Medicaid Data Architect (Enterprise Architect III) 26-06917

Location: Austin Texas
Work Arrangement: 100% Onsite
Contract Duration: 12 Months
Position Overview

We are seeking a highly experienced Senior Medicaid Data Architect to lead enterprise data architecture initiatives supporting large-scale healthcare analytics Medicaid data integration and data governance programs. This role will be responsible for designing and implementing enterprise-level data solutions data warehouses cloud integrations metadata management frameworks and data governance strategies within a complex healthcare environment.

The ideal candidate will possess extensive Medicaid data expertise enterprise data architecture experience and a strong background in data warehousing data governance master data management and analytics platforms.

• 100% Onsite
• Austin Texas
• Local Texas candidates only
• Must already reside within Texas
• In-person interview required

• Design and implement enterprise-scale Medicaid data architectures.
• Develop enterprise data standards policies frameworks and governance processes.
• Create and maintain logical conceptual and physical data models.
• Define enterprise metadata reference data and master data strategies.
• Establish enterprise data quality standards and monitoring processes.

• Architect and integrate large-scale Medicaid data platforms.
• Develop strategies for Medicaid claims encounters clinical assessments and member movement data.
• Support enterprise analytics initiatives and healthcare performance reporting.
• Provide subject matter expertise on Medicaid data assets and reporting solutions.
• Design enterprise data warehouses and analytics platforms.

• Collaborate with data governance and architecture teams.
• Define metadata management standards and best practices.
• Develop data stewardship and governance frameworks.
• Improve data quality consistency and accessibility across enterprise systems.
• Support master data management (MDM) initiatives.

• Architect cloud-based data integration solutions.
• Design enterprise data hubs and analytics environments.
• Support long-term enterprise data modernization initiatives.
• Evaluate and recommend enterprise data management tools and technologies.

• Develop and optimize AI-driven data retrieval and reporting strategies.
• Create reusable prompt libraries and reporting templates.
• Validate AI-generated outputs and identify data quality concerns.
• Promote adoption of data-driven and AI-enabled decision-making practices.
• Stay current with emerging AI analytics and data management technologies.

• Collaborate with executive leadership business teams and technical stakeholders.
• Translate complex technical concepts into business-friendly language.
• Present architecture strategies findings and recommendations to leadership.
• Lead multiple analytics and architecture initiatives simultaneously.

• 12 years of experience with enterprise data architecture principles methodologies standards and best practices.
• 12 years of experience in:
  • Data management
  • Data flows and relationships
  • Data quality frameworks
  • Data governance
  • Analytical and data quality tools
• 10 years of hands-on Medicaid data experience including:
  • Provider claims
  • Encounters
  • Client movement data
  • Clinical assessments
• 8 years building and maintaining Medicaid Data Warehouses.
• 8 years of experience in:
  • Reference Data Management
  • Data Quality Management
  • Metadata Management
• 8 years leading enterprise data transformation and data-driven organizational initiatives.
• Strong communication leadership analytical and stakeholder management skills.

• 5 years designing and implementing:
  • Master Data Management (MDM)
  • Enterprise Data Warehouse solutions
  • Performance Management Systems
• 5 years within:
  • Healthcare
  • Medicaid
  • Insurance
  • Public Health environments
• Experience managing both technical and business stakeholders.
• Bachelors Degree in:
  • Computer Science
  • Systems Engineering
  • Related Technical Discipline
• Certified Data Management Professional (CDMP) certification preferred.

Candidates should demonstrate strong experience with:

• Enterprise Data Architecture
• Data Warehousing
• Medicaid Analytics
• Data Governance
• Master Data Management (MDM)
• Metadata Management
• Data Quality Frameworks
• Cloud Data Platforms
• Healthcare Data Integration
• Enterprise Analytics
• Data Modeling
• Data Harmonization
• Business Intelligence
• AI-Driven Analytics and Reporting

• Must successfully pass required background screening.
• All deliverables produced under this engagement are considered work-for-hire.
• Compliance with all security privacy and organizational policies is required.

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