Job title: Enterprise Data ArchitectLocation: Austin, TX Duration: Long Term Job Description: The Medicaid Data Architect position is an Information Technology (IT) position and will be a part Performance Management and Analytics System (PMAS) team under the Office of Chief Data Architect in Health and Human Services System's IT domain. This position is required to create data architecture(s) related to Texas Medicaid data in compliance with Texas Data Management Framework (TDMF) and HHS Data Governance (DG) policies
. The Enterprise Architect position: Collaborates with the Office of the Chief Data Architect on initiatives related to performance analytics and data governance.
Architects cloud data hub integrations with Medicaid data and other data domain platforms.
Develops best practices and methodologies to mature TDMF best practices and capability maturities. Develops enterprise data policy and standards that support the development of an enterprise data governance framework.
Serves as Data Architecture and Data Management expert for the HHS system, Medicaid.
Develops a detailed knowledge of the underlying HHS data assets and data products and provides subject matter expert on content, current and potential future uses of data.
Assists in development and implementation of data quality processes and metrics.
Responsible for consulting with the business owners of data assets, providers of enterprise analytics, and Information Technology leadership to develop enterprise Medicaid analytics strategy for future funding, design, and implementation
Provides expertise in data harmonization, master data development and governance, data quality, and metadata management.
Provides guidelines on creating data models and various standards relating to governed data.
Reviews changes to technical and business metadata, realizing their impacts on enterprise applications, and ensures the impacts are communicated to appropriate parties.
Establishes measures to chart progress related to the completeness and quality of metadata for enterprise information to support reduction of data redundancy and fragmentation and elimination of unnecessary movement of data; and to improve data quality.
Assists in selecting data management tools and developing the standards, usage guidelines, and procedures for using those tools.
Assists in identifying appropriate data sourcing and extraction processes, and in identifying and nominating sources as systems of record for data usage in various applications.
Assists 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.
Builds business cases to support collaborative HHS MDM efforts and adoption.
Works with CTO office, CDA architecture team, and MCS program stakeholders to come up with Medicaid data and analytics strategy considering long term goals/objectives.
Strategic Liaison and Translation 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.
AI Prompting and Data Synthesis 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.
Collaboration and Problem-Solving 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 complex data questions.
Required Skills: - 12 Years of Excellent understanding of Data Architecture principles, capabilities, and best practices with the proven ability to define, document and apply standards and best practices
- 12 Years of Experience with business processes, data management, data flows, data relationships, data quality standards and processes, and proficiency with data analytical and quality tools
- 10 Years of Extensive experience in working with Medicaid data; specifically in the areas such as provider claims & encounters as well as client movements and clinical assessments.
- 8 Years of Experience in building and maintaining a Medicaid Data Warehouse.
- 8 Years of Extensive architecture experience and knowledge in the areas of Reference Data, Data Quality, Metadata Management
- 8 Years of Experience leading and evolving corporate culture to a data driven organization
- Communication, analytical and interpersonal skills at all levels
Preferred Skills: - 5 Years of Experience designing/implementing data acquisitions for Master Data Management, Data Warehouse or other Performance Management system.
- 5 Years of Experience with public health care or Insurance business domain
- 5 Years of Proven ability to work successfully with technical and non-technical groups and manage multiple responsibilities
- 4 Years of Bachelor''s degree in Computer Science, Systems Engineering or equivalent experience
- 1 Year of Certified Data Management Professional (CDMP) from DAMA
