IT Systems Analyst 3 (TX529701736R1)
Resource Management Associates Bullhorn ·www.rmallcga.com
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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.