Texas Health and Human Services Commission requires the services of 1 Systems Analyst 3, hereafter referred to as Candidate(s), who meets the general qualifications of Systems Analyst 3, Applications/Software Development and the specifications outlined in this document for the Texas Health and Human Services Commission.
HHSC IT is continuing to develop an Enterprise Information Management (EIM) system under the Performance Management & Analytics System (PMAS).
This development effort will utilize an agile methodology based upon the approach currently in use at HHSC for the Performance Management & Analytics System (PMAS).
As a member of the agile development team, the worker responsibilities may include:
Overview
The Worker will serve as a senior master data management (MDM) administrator/developer, and a critical liaison between technical IT and non-technical program staff mastering complex member and provider data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively determine client and provider identity crosswalks across application sources, for developing integrated agency analytical reporting and strategic decision-making. The ideal candidate has strong MDM and SQL skills, a deep understanding of HHS programs and data, strong history of data profiling across HHS data domains, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.
Responsibilities
? Strategic Liaison and Translation
o Work with program areas, project sponsor and system SMEs to understand member and provider data domains and common data identity issues.
o Explain technical findings and data limitations in simple, non-technical language to end-users.
? Data Reporting and Visualization
o Extract, integrate, and analyze member and provider identity data from multiple complex internal and external sources to support HHS analytics needs.
o Collaborate with end-users and performance analysts or IT internal leaders to create visualizations showing member and provider profiles for constantly emerging analytics needs.
o Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
o Ensure all data identities adhere to agency data standards, data governance, and compliance regulations.
? Data Literacy and Training
o Champion data identity across the organization by developing and conducting training sessions for non-technical staff.
o Create clear, comprehensive documentation and tutorials on using master data for data integrations.
o Promote a data-driven culture by enabling and empowering all employees to effectively utilize master data tools and AI.
? Collaboration and Problem-Solving
o Work closely with data engineering, IT, and Program teams to troubleshoot data identity issues and address inconsistencies and mitigation strategies.
o Provide expert guidance to program staff on interpreting data identity trends and answering complex identity questions.
o Stay up to date on new AI and data identity tools and techniques to continuously improve data integrations, data quality and reporting.
? AI Prompting and Data Synthesis
o Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex data domains.
o Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
o Develop a library of standardized prompts and query templates for common data identity needs.
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