Job Title: Enterprise Architect 3

Location(s): Austin, TX

Job Summary
The client is seeking a senior Medicaid Data Architect to support the Integrated Continuum of Care Analytics (ICCA) initiative within the Performance Management & Analytics System (PMAS). This role serves as the lead data architecture expert responsible for designing, governing, and implementing enterprise-scale Medicaid data solutions supporting analytics, data governance, master data management, metadata management, and cloud-based data integration platforms.

The architect will collaborate with business stakeholders, data governance teams, analytics groups, and IT leadership to establish enterprise Medicaid data strategies, data quality frameworks, and long-term analytics capabilities. The position requires deep Medicaid domain expertise, enterprise data architecture leadership, and strong experience with large-scale healthcare data warehouses.

Key Responsibilities

• Design and implement enterprise Medicaid data architecture solutions for multi-terabyte analytics environments.
• Architect cloud-based data integration hubs and enterprise data platforms.
• Develop and maintain enterprise data standards, governance policies, and data management frameworks.
• Lead initiatives involving data quality, metadata management, reference data, and master data management.
• Collaborate with business, analytics, and IT teams to define Medicaid analytics strategies and roadmaps.
• Establish data governance practices aligned with enterprise standards and compliance requirements.
• Define and maintain data models, metadata standards, and data lineage processes.
• Evaluate and recommend data management tools and technologies.
• Perform data sourcing, integration, and system-of-record assessments.
• Conduct root cause analysis for data quality and data governance issues.
• Provide strategic guidance on Medicaid data assets, analytics, and reporting initiatives.
• Support AI-enabled analytics initiatives through prompt engineering, data validation, and governance controls.
• Develop reusable AI query templates and reporting frameworks.
• Validate AI-generated outputs and mitigate risks related to hallucinations and inaccurate results.
• Present technical findings and data insights to executive leadership and non-technical stakeholders.
• Lead cross-functional collaboration among program, analytics, engineering, and business teams.

Required Skills & Experience

• 12+ years of experience in Data Architecture, enterprise data management, and data governance.
• 12+ years of experience with:
  • Data management processes
  • Data flows and relationships
  • Data quality standards and controls
  • Data analytics and quality tools
• 10+ years of Medicaid data experience, including:
  • Provider claims and encounters
  • Client/member movement data
  • Clinical assessments
• 8+ years of experience building and maintaining Medicaid Data Warehouses.
• 8+ years of expertise in:
  • Reference Data Management
  • Data Quality
  • Metadata Management
• 8+ years of leadership experience driving enterprise data culture and data-driven decision-making.
• Strong communication, stakeholder management, analytical, and consulting skills.
• Experience working with enterprise-scale healthcare analytics platforms and large data environments.

Preferred Qualifications

• 5+ years of experience designing and implementing:
  • Master Data Management (MDM) solutions
  • Data Warehouse solutions
  • Performance Management systems
• 5+ years of experience within:
  • Public healthcare
  • Health and Human Services
  • Insurance organizations
• Proven ability to collaborate with both technical and business stakeholders.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
• Certified Data Management Professional (CDMP) certification.

Ideal Candidate Profile
The strongest candidates will have extensive Medicaid data architecture experience, deep knowledge of healthcare claims and member data, proven leadership in enterprise data governance programs, and hands-on expertise in data warehousing, metadata management, data quality, MDM, and cloud analytics architectures. Experience supporting government healthcare agencies and implementing enterprise analytics strategies is highly desirable.