Enterprise Data Architect (medicaid)

Prolim is hiring for Enterprise Architect (medicaid) for a leading client

Location: Austin, TX

Contract: Long term

I. DESCRIPTION OF SERVICES

Overview

The Medicaid Data Architect position is an Information Technology (IT) role and will be part of the PMAS Medicaid sprint team working in collaboration with the Office of Data Analytics & Performance (DAP) within the Health and Human Services System's 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 HHS-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 HHS system.

The Medicaid Data Architect position will be part of the 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 the Texas Data Management Framework (TDMF) and HHS Data Governance (DG) policies.

Enterprise Architect 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 expertise on content, current and potential future uses of data.
• Assists in development and implementation of data quality processes and metrics.
• Consults with business owners of data assets, providers of enterprise analytics, and IT 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, assesses their impacts on enterprise applications, and ensures 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, elimination of unnecessary movement of data, and improvement of 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 Master Data Management (MDM) efforts and adoption.
• Works with the CTO office, CDA architecture team, and MCS program stakeholders to develop Medicaid data and analytics strategy considering long-term goals/objectives.

Strategic Liaison and Translation

• Work with program areas and project sponsors 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 for 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 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

Minimum Requirements

Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Skill matrix (Years - Required/Preferred - Experience)

Years

Required/Preferred

Experience

12

Required

Excellent understanding of Data Architecture principles, capabilities, and best practices with 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 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 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.