Sr Business Data Quality Analyst

Reviews, analyzes, and evaluates business systems and user needs. Formulates systems to parallel overall business strategies. Experienced with business process reengineering and identifying new applications of technology to business problems to make business more effective. Familiar with industry standard business process mapping, and reengineering. Prepares solution options, risk identification, and financial analyses such as cost/benefit, ROI, buy/build, etc. Writes detailed description of user needs, program functions, and steps required to develop or modify computer programs..

The Department of Information Resources (DIR) requires the services of a senior business data quality analyst, hereafter referred to as Worker, who meets the general qualification of Business Analyst 3, Emerging Technologies and the specifications outlined in this document for Health and Human Services Commission (HHSC) Information Technology.         

All work products resulting from the project shall be considered “works made for hire” and are the property of the HHSC. HHSC may include pre -selection requirements that potential Vendors (and their Workers) submit to and satisfy criminal background checks as authorized by the Texas law. HHSC will pay no fees for interviews or discussions, which occur during the process of selecting a Worker(s).

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 business data quality analyst and a critical liaison between technical IT and non -technical program staff working with complex technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively determine data profiles and quality measures for developing agency analytical reporting and strategic decision -making. The ideal candidate has strong analytical 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 data domains and common data quality 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 sample 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 data quality 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 outputs adhere to agency reporting standards, data governance, and compliance regulations.

•       Data Literacy and Training

        o      Champion data quality literacy across the organization by developing and conducting training sessions for non -technical staff.

        o      Create clear, comprehensive documentation and tutorials on using glossary tools for data synthesis.

        o      Promote a data -driven culture by enabling and empowering all employees to effectively utilize data profiling tools and AI.

•       Collaboration and Problem -Solving

        o      Work closely with data engineering, IT, and Program teams to troubleshoot data -related issues and address inconsistencies and mitigation strategies.

        o      Provide expert guidance to program staff on interpreting data trends and answering complex data questions.

        o      Stay up to date on new AI and data quality tools and techniques to continuously improve data analytics, 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 reporting needs.