Medicaid Data Architect

In person interview is needed. Onsite from Day 1 / Hybrid. Local preferred. State of TX residency is must.

Location: W. Guadalupe, TX

Duration: 6 - 24+ months (High Possibility of Further Extensions)

Need 3-page resumes. Must have current LinkedIn profile. Please complete the enclosed documentation in its entirety and always get RTR physically signed.

Responsibilities

• 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.

Skills Needed

Years

Required/Preferred

Experience

12

Required

Excellent understanding of Data Architecture principles, capabilities, and best practices with the proven ability to define, document and apply standards and best practices

12

Required

Experience with business processes, data management, data flows, data relationships, data quality standards and processes, and proficiency with data analytical and quality tools

10

Required

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

Required

Experience in building and maintaining a Medicaid Data Warehouse.

8

Required

Extensive architecture experience and knowledge in the areas of Reference Data, Data Quality, Metadata Management

8

Required

Experience leading and evolving corporate culture to a data driven organization

8

Required

Communication, analytical and interpersonal skills at all levels

5

Preferred

Experience designing/implementing data acquisitions for Master Data Management, Data Warehouse or other Performance Management system.

5

Preferred

Experience with public health care or Insurance business domain

5

Preferred

Proven ability to work successfully with technical and non-technical groups and manage multiple responsibilities

4

Preferred

Bachelor's degree in Computer Science, Systems Engineering or equivalent experience

1

Preferred

Certified Data Management Professional (CDMP) from DAMA