Job ID: TX-529701738 (913390612)
Onsite/Local (AUSTIN ONLY) Ecstasy/ada/accessibility testing (15+) with pm, Business Intelligence/Data Warehouse, Agile, MIRP/APD/FFP experience
Location: Austin, TX (HHSC)
Duration: 12 Months
Position is 100% ONSITE at the location listed above (NO REMOTE WORK). **Subject to change per the hiring team**
Program will only accept LOCAL ONLY candidates for this position (Within 50-mile radius).
Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.
Skills:
8 Required Experience translating complex analytics project intakes and business requirements into clear, actionable plans for prioritization and implementation.
8 Required Experience explaining complex data initiatives in simple, non-technical language to end-users and leaders of all levels.
8 Required Experience in complex data programs as a senior project manager and/or data liaison role.
8 Required Experience collaborating with end-users, performance analysts and agency leaders to validate project/program reports, presentations for monitoring and official reporting.
8 Required Excellent communication, presentation, and interpersonal skills.
8 Required Experience with presentation and design tools such as PowerPoint and Visio.
5 Preferred Experience leading as a senior project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts
5 Preferred Experience with Business Intelligence/Data Warehouse
5 Preferred Experience acting as the primary point of contact for program staff with data needs for federal, state, and internal reporting.
5 Preferred Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements.
5 Preferred Experience with data governance and data quality principles
5 Preferred Experience managing scrum of scrum ceremonies to sync across Agile sprint teams and applying principles from the Scaled Agile Framework (SAFe)
5 Preferred Experience ensuring project teams properly extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs.
5 Preferred Experience collaborating with end-users and performance analysts or IT leaders to create and validate visualizations for program monitoring and official reporting.
3 Preferred Experience leading a performance management and analytics initiative at a State of Texas agency
2 Preferred Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff.
2 Preferred Experience training and mentoring staff with varying levels of data literacy.
2 Preferred Experience with State and Federal monitoring and reporting compliance for a Major Information Resources Project (MIRP)
2 Preferred Experience developing Advanced Planning Documents (APD) and Business Case Workbooks for a Major Information Resources Project (MIRP) with blended State GR and Federal Financial Participation (FFP) – All Funds
1 Preferred Experience applying responsible AI practices and compliance with agency standards.
Job Descrption:
The Worker will serve as a senior program manager and a critical liaison between IT leadership and project sponsors at the Deputy Executive Commissioner (DEC) level, managing communications across technical and non-technical staff who are stewarding complex data curations across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively develop a data analytics program, up to and including the use of AI to synthesize and report accurate data for official, agency reporting and strategic decision-making. The ideal candidate has strong leadership and management skills, having a broad and deep understanding of HHS programs and data domains, with a strong history of BI/DW development projects, and exceptional communication abilities to bridge the gap between leaders and technologists across HHS, in the emerging context of AI.
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.