IT Program Manager 3 (TX529701738)
Responsibilities
• Strategic Liaison and Translation
o Work with program areas and project sponsor to plan and execute multiple analytics projects asynchronously.
o Lead as technical program manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts
o Manage the scrum of scrum ceremonies to sync across Agile sprint teams and applying principles from the Scaled Agile Framework (SAFe)
o Act as a primary point of contact for program staff with data needs for federal, state, and internal reporting.
o Explain project findings and data limitations in simple, non-technical language to agency leadership and program staff.
• AI Prompting and Data Synthesis
o Develop and refine effective AI prompts and query strategies to retrieve and synthesize program strategies for complex data domains.
o Develop a library of standardized prompts and query templates for common reporting needs.
• Data Reporting and Visualization
o Ensure project teams properly extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs.
o Collaborate with end-users and performance analysts or IT leaders to create and validate visualizations for program monitoring and official reporting.
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 literacy across the organization by planning and staffing AI training teams.
o Promote a data-driven culture by enabling and empowering all staff to effectively utilize data 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 analytics tools and techniques to continuously improve program competencies.