Sr. Data Governance & Metadata Analyst

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.