Medicaid Data Architect (Onsite)

Job Title: Medicaid Data Architect (Onsite)

Location: Austin TX

Duration: 12 Months with possible extension

Job Description:

Responsible for translating the clients business requirements into specific systems applications or process designs with interlocked financial modeling for very large complex technical solutions. Analyzes customer service requirements and designs service solutions to meet those objectives. Primary expert to construct the specific solution scope document risk profile and corresponding financials. Maintains and utilizes detailed industry and internal services knowledge in the construction of industry-leading services solutions including expert working level knowledge of the processes technologies and people components involved in the services arena. Uses expertise to construct specific and detailed solutions that encompass process technology and staffing plans for customer sales opportunities. Constructs risk assessments and corresponding remediation plans relative to complex services proposals. Participates in the construction of detailed financial models that align with complex services proposals. Composes Statement of Work or other documents using departmental automation tools as available to craft detailed and accurate deliverables that specify processes technology staffing and project management involved in proposed services solutions. As needed provide a trusted expert advisor role as a Subject Matter Expert for technical services to both internal and external customers ranging from formal advice to internal and external customer presentations. Follow all organizational Standard Operating Procedures relative to cost modeling approvals and reviews and all other associated workflow and deliverables.

The Medicaid Data Architect position is an Information Technology (IT) position and will be a part of the PMAS Medicaid sprint team working in collaboration with the client Data Analytics & Performance (DAP) within the client Systems business domain. This architect designs and implements integrated data solutions for a multi-terabyte data integration hub implementation. The mission of PMAS is to ensure client curated data is visible accessible where appropriate understandable in context trusted by users and uniformly governed in order to support integrated data analytics in the Integrated Continuum of Care Analytics initiative. This enables data-driven decision making across the client system.

The Medicaid Data Architect position is an Information Technology (IT) position and will be a part Performance Management and Analytics System team under the Client Services Systems IT domain. This position is required to create data architecture(s) related to Medicaid data in compliance with Texas Data Management Framework (TDMF) and Data Governance (DG) policies.

The Enterprise Architect position:

• Collaborates with the client 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 client system Medicaid.
• Develops a detailed knowledge of the underlying client 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 client MDM efforts and adoption.
• Works with client 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.

CANDIDATE SKILLS AND QUALIFICATIONS