Enterprise Architect 3 Medicaid Data Architect

Job Title: Enterprise Architect 3 - Medicaid Data Architect

Job Type: Contract

Location: Austin, TX (Hybrid)

Position Overview

We are seeking an experienced Enterprise Data Architect to lead the design and implementation of enterprise-scale data architecture solutions supporting complex healthcare analytics and data integration initiatives. This role will focus on developing scalable data strategies, governance frameworks, and enterprise data models to support large-scale business intelligence and reporting needs.

The ideal candidate will possess extensive experience in enterprise data architecture, data governance, metadata management, data quality, cloud-based data integration platforms, and healthcare data environments. The selected professional will collaborate with business and technical stakeholders to establish enterprise data standards, drive data modernization initiatives, and enable data-driven decision-making.

Key Responsibilities

• Design and implement enterprise data architecture solutions for large-scale analytics and data integration platforms.
• Develop and maintain enterprise data standards, policies, and governance frameworks.
• Architect cloud-based data solutions integrating complex healthcare datasets.
• Define enterprise data models, metadata standards, reference data structures, and data quality processes.
• Lead initiatives involving Master Data Management (MDM), metadata management, and data harmonization.
• Collaborate with business stakeholders and technical teams to translate requirements into scalable data solutions.
• Support enterprise analytics strategies and long-term data architecture roadmaps.
• Evaluate and enhance data quality, governance practices, and metadata completeness across enterprise systems.
• Assist with data sourcing strategies and system-of-record identification.
• Perform root cause analysis of enterprise data issues and recommend corrective actions.
• Establish best practices for enterprise data management and governance maturity.
• Partner with data engineering and IT teams to resolve complex data integration challenges.
• Present technical concepts and data insights effectively to both technical and non-technical audiences.

AI & Advanced Analytics Responsibilities

• Develop and optimize AI prompts and query strategies to support complex data analysis initiatives.
• Build standardized AI prompt libraries for reporting and analytics use cases.
• Validate AI-generated outputs and identify potential inconsistencies.
• Ensure AI-enabled solutions align with enterprise governance and reporting standards.
• Promote data-driven decision-making and responsible AI adoption across the organization.
• Stay informed on emerging AI, analytics, and data management technologies.

Required Qualifications

• 12+ years of experience in Enterprise Data Architecture, Data Management, and Data Governance.
• Strong expertise in data architecture principles, standards, and best practices.
• Extensive knowledge of data flows, metadata management, data quality frameworks, and business process analysis.
• 10+ years of experience working with healthcare data domains, including claims, encounters, member, provider, and clinical datasets.
• 8+ years of experience designing and supporting Enterprise Data Warehouse environments.
• Hands-on experience with:
  • Data Governance
  • Metadata Management
  • Data Quality Management
  • Reference Data Management
  • Enterprise Data Modeling
• Proven experience leading enterprise-wide data transformation initiatives.
• Excellent communication, leadership, analytical, and stakeholder management skills.

Preferred Qualifications

• Experience implementing Master Data Management (MDM) or Enterprise Data Warehouse solutions.
• Experience within Healthcare, Insurance, Public Sector, or highly regulated environments.
• Ability to collaborate effectively with both technical and business stakeholders.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
• Certified Data Management Professional (CDMP) certification is a plus.

Note: This is a client-neutral posting. Specific project and organizational details will be discussed with qualified candidates during the interview process.