Austin, TX
Systems Analyst - Solicitation# 529701736
Texas Health and Human Services Commission (HHSC)
Overview
The Worker will serve as a senior master data management (MDM) administrator/developer, and a critical liaison between technical IT and non-technical program staff mastering complex member and provider data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively determine client and provider identity crosswalks across application sources, for developing integrated agency analytical reporting and strategic decision-making. The ideal candidate has strong MDM and SQL skills, a deep understanding of HHS programs and data, strong history of data profiling across HHS data domains, with exceptional communication abilities to 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 understand member and provider data domains and common data identity issues.
  • Explain technical findings and data limitations in simple, non-technical language to end-users.
• Data Reporting and Visualization
  • Extract, integrate, and analyze member and provider identity data from multiple complex internal and external sources to support HHS analytics needs.
  • Collaborate with end-users and performance analysts or IT internal leaders to create visualizations showing member and provider profiles for constantly emerging analytics needs.
  • Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
  • Ensure all data identities adhere to agency data standards, data governance, and compliance regulations.
• Data Literacy and Training
  • Champion data identity across the organization by developing and conducting training sessions for non-technical staff.
  • Create clear, comprehensive documentation and tutorials on using master data for data integrations.
  • Promote a data-driven culture by enabling and empowering all employees to effectively utilize master data tools and AI.
• Collaboration and Problem-Solving
  • Work closely with data engineering, IT, and Program teams to troubleshoot data identity issues and address inconsistencies and mitigation strategies.
  • Provide expert guidance to program staff on interpreting data identity trends and answering complex identity questions.
  • 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
  • Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex data domains.
  • Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
  • Develop a library of standardized prompts and query templates for common data identity needs.

Position is ONSITE at the location listed above (NO REMOTE WORK). Program will only accept LOCAL ONLY candidates for this position.
 

Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Actual Years Experience	Years Experience Needed	Required/ Preferred	Skills/Experience
	12	Required	Experience with Informatica PowerCenter
	10	Required	Experience gathering business requirements and translating complex identity resolutions and operational requirements into clear, actionable access paths for client or provider identity for complex analytics
	10	Required	Experience with MDM tools such Informatica MDM
	8	Required	Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership.
	8	Required	Strong experience with SQL for data identification, data profiling and manipulation.
	8	Required	Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate client and member identification strategies for analytics development.
	8	Required	Excellent communication, presentation, and interpersonal skills.
	5	Preferred	Experience with Business Intelligence/Data Warehouse
	5	Preferred	Experience with Informatica IICS
	4	Preferred	Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency data domains.
	4	Preferred	Experience with data governance and data quality principles
	3	Preferred	Experience acting as the primary point of contact for program staff with MDM needs for analytics projects
	2	Preferred	Experience championing MDM across the organization
	1	Preferred	Experience with AI prompt development

I need Three References

 

Reference Name (Required):
Title (Optional)
Company Name (Required):
Phone Number (Required include area code):
E-mail address (Optional):
Professional Relationship (Optional):

     
Peer                                                                      Co-Worker                                                                  Supervisor
   

  Customer                                                             End-User                                                                     Subordinate
 

Reference Name (Required):
Title (Optional)
Company Name (Required):
Phone Number (Required include area code):
E-mail address (Optional):
Professional Relationship (Optional):

     
Peer                                                                      Co-Worker                                                                  Supervisor
   

  Customer                                                             End-User                                                                     Subordinate
 

Reference Name (Required):
Title (Optional)
Company Name (Required):
Phone Number (Required include area code):
E-mail address (Optional):
Professional Relationship (Optional):

     
Peer                                                                      Co-Worker                                                                  Supervisor
   

  Customer                                                             End-User                                                                     Subordinate