Data Architect

Position

Data Architect with Medicaid

Austin, TX

State of TX

The Medicaid Data Architect will serve on the PMAS Medicaid sprint team working with the Office of Data Analytics & Performance to design and implement integrated data solutions for a multi-terabyte data integration hub. The role is part of the PMAS Medicaid team under the Office of the Chief Data Architect in the Health and Human Services System’s IT domain and will create data architecture(s) related to Texas Medicaid data in compliance with the Texas Data Management Framework (TDMF) and HHS Data Governance (DG) policies.

• Collaborate with the Office of the Chief Data Architect on initiatives related to performance analytics and data governance.
• Architect cloud data hub integrations with Medicaid data and other data domain platforms.
• Develop best practices and methodologies to mature TDMF best practices and capability maturities.
• Develop enterprise data policy and standards that support the development of an enterprise data governance framework.
• Serve as Data Architecture and Data Management expert for the HHS system, Medicaid.
• Develop a detailed knowledge of the underlying HHS data assets and data products and provide subject matter expertise on content, current and potential future uses of data.
• Assist in development and implementation of data quality processes and metrics.
• Consult with the business owners of data assets, providers of enterprise analytics, and Information Technology leadership to develop an enterprise Medicaid analytics strategy for future funding, design, and implementation.
• Provide expertise in data harmonization, master data development and governance, data quality, and metadata management.
• Provide guidelines on creating data models and various standards related to governed data.
• Review changes to technical and business metadata, assess their impacts on enterprise applications, and ensure impacts are communicated to appropriate parties.
• Establish measures to chart progress related to the completeness and quality of metadata for enterprise information, supporting the reduction of data redundancy and fragmentation and eliminating unnecessary data movement; and to improve data quality.
• Assist in selecting data management tools and developing the standards, usage guidelines, and procedures for using those tools.
• Assist in identifying appropriate data sourcing and extraction processes and in nominating sources as systems of record for data usage in various applications.
• Assist in performing root cause analyses related to information issues and non‑conformance to published data standards based on review of technical metadata of various source systems.
• Build business cases to support collaborative HHS MDM efforts and adoption.
• Work with the CTO office, CDA architecture team, and MCS program stakeholders to develop Medicaid data and analytics strategy aligned with long‑term goals and objectives.

• Work with program areas and project sponsor to plan and execute multiple analytics projects asynchronously.
• Explain project findings and data limitations in simple, non‑technical language to agency leadership and program staff.

• Develop and refine effective AI prompts and query strategies to retrieve and synthesize Medicaid data for complex data domains.
• Develop a library of standardized prompts and query templates for common reporting needs.
• Provide subject‑matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
• Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
• Promote a data‑driven culture by enabling and empowering all staff to effectively utilize data and AI.
• Stay up to date on new AI and data analytics tools and techniques to continuously improve program competencies.

• Work closely with data engineering, IT, and program teams to troubleshoot data‑related issues and address inconsistencies and mitigation strategies.
• Provide expert guidance to program staff on interpreting data trends and answering…