Business Analyst for HHSC, Austin, Tx

Job Description

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).

The worker responsibilities may include:

• Serve as a senior Metadata Ingestion 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.
• Empower HHS staff to effectively determine business and technical glossary definitions for developing agency reporting and strategic decision-making.
• Bridge the gap between technical data systems and operational users in the emerging context of AI.

Responsibilities

• Strategic Liaison and Translation
• Work with program areas, project sponsor and system SMEs to connect EIM cataloging and lineage systems to source systems in IT.
• Automate regular collection and updates to agency metadata for high value data assets.
• Explain technical findings and data limitations in simple, non-technical language to end-users.
• Data Reporting and Visualization
• Extract, integrate, and analyze metadata from multiple complex internal and external sources to support HHS program needs.
• Collaborate with end-users and performance analysts or IT internal leaders to create visualizations for enrichment progress and official reporting.
• 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.
• Data Literacy and Training
• Champion data glossary literacy across the organization by developing and conducting training sessions for non-technical staff.
• Create clear, comprehensive documentation and tutorials on using glossary tools for data synthesis.
• Promote a data-driven culture by enabling and empowering all employees to effectively utilize metadata and AI.
• Collaboration and Problem-Solving
• Work closely with data engineering, IT, and Program teams to troubleshoot metadata-related issues and address inconsistencies and mitigation strategies.
• Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
• Stay up to date on new AI and metadata analysis tools and techniques to continuously improve data glossaries, data quality and reporting.
• AI Prompting and Data Synthesis
• Develop and refine effective AI prompts and query strategies to retrieve and synthesize metadata accurately from complex data domains.
• Guide non-technical users in crafting precise prompts to get the glossary data they need, ensuring fidelity and accuracy.
• Develop a library of standardized prompts and query templates for common reporting needs.

Qualifications

• 8 years of experience gathering business requirements and translating complex metadata acquisitions and operational requirements into clear, actionable access paths for data glossaries for complex analytics.
• 8 years of experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership.
• 8 years of experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
• Strong experience with SQL for data extraction, manipulation and enrichment.
• Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate glossaries for analytics development and business data lineage analysis.
• Excellent communication, presentation, and interpersonal skills.
• 5 years of preferred experience with Business Intelligence/Data Warehouse.
• 5 years of preferred experience acting as the primary point of contact for program staff with metadata/glossary needs for analytics projects.
• 5 years of preferred experience working in a health and human services or similarly regulated environment, with a strong understanding of agency metadata requirements.
• 5 years of preferred experience with data governance and data quality principles.
• 5 years of preferred experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC and Axon Data Governance).
• 2 years of preferred experience championing data literacy across the organization.
• 2 years of preferred experience training and mentoring staff with varying levels of data literacy.
• 1 year of preferred experience with AI prompt development.