About The Position

Client is seeking an experienced Enterprise Architect 3 / Medicaid Data Architect to support the Integrated Continuum of Care Analytics (ICCA) initiative. This senior-level role will lead the design, governance, and modernization of enterprise Medicaid data platforms, enabling advanced analytics, reporting, data quality, and decision-making capabilities across HHSC programs. The ideal candidate will possess extensive experience in Medicaid data architecture, healthcare analytics, enterprise data warehousing, data governance, metadata management, master data management (MDM), and cloud-based data integration solutions. The architect will partner with executive leadership, business stakeholders, and technical teams to establish enterprise-wide data strategies and drive a data-driven culture.

Requirements

  • 12+ years of experience in Enterprise Data Architecture.
  • 12+ years of experience implementing Data Governance, Data Quality, and Enterprise Data Management practices.
  • Extensive understanding of: Data Architecture principles and frameworks, Data Governance, Data Quality Management, Metadata Management, Reference Data Management, Data Modeling, Enterprise Analytics, Information Management Best Practices.
  • 10+ years of hands-on experience working with Medicaid data environments.
  • Strong experience with: Provider Claims Processing, Encounter Data, Member/Client Movement Tracking, Clinical Assessments, Healthcare Analytics and Reporting.
  • 8+ years of experience designing, building, and maintaining large-scale Medicaid Data Warehouses.
  • Experience supporting multi-terabyte healthcare analytics environments.
  • Expertise in enterprise data integration and performance optimization.
  • Experience leading enterprise data strategy initiatives.
  • Proven ability to influence stakeholders and drive adoption of data governance standards.
  • Strong communication, presentation, analytical, and interpersonal skills.
  • Ability to collaborate effectively with executive leadership, business teams, and technical organizations.
  • Experience managing multiple priorities in complex enterprise environments.

Nice To Haves

  • 5+ years of experience designing and implementing data acquisition solutions for: Master Data Management (MDM), Enterprise Data Warehouses, Performance Management Systems.
  • Experience within Public Healthcare, Medicaid, Health and Human Services, or Insurance domains.
  • Demonstrated success working across technical and non-technical stakeholder groups.
  • Bachelor's Degree in Computer Science, Information Systems, Systems Engineering, or equivalent experience.
  • Certified Data Management Professional (CDMP) certification from DAMA.
  • Experience with cloud-based data platforms and modern analytics ecosystems.
  • Knowledge of AI-driven analytics and data governance automation.

Responsibilities

  • Design, develop, and govern enterprise Medicaid data architecture frameworks and standards.
  • Lead architecture initiatives for Medicaid Data Warehouses, Data Lakes, and cloud-based analytics platforms.
  • Define and implement enterprise data governance, metadata management, data quality, and reference data strategies.
  • Architect solutions supporting Medicaid provider claims, encounters, eligibility, member movement, and clinical assessment data.
  • Establish enterprise data models, integration standards, and data lifecycle management processes.
  • Develop and maintain enterprise data architecture roadmaps aligned with business objectives.
  • Lead Master Data Management (MDM) and data acquisition initiatives supporting enterprise analytics.
  • Collaborate with program leadership, business users, data stewards, and technical teams to ensure successful delivery of data solutions.
  • Evaluate and implement AI-enabled analytics, prompt engineering methodologies, and validation frameworks for AI-generated insights.
  • Provide executive-level recommendations on data architecture, governance, analytics, and performance measurement.
  • Drive organizational transformation toward a data-driven decision-making culture.
  • Create and maintain architecture documentation, standards, policies, and best practices.
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