MDM Analyst​/Architect

About Us: Tech Data Innovations helps enterprises modernize data platforms and accelerate AI adoption through AI automation, data governance, master data management (MDM), and cloud data engineering solutions. The company specializes in turning fragmented enterprise data into trusted, AI-ready assets that power automation, analytics, and GenAI initiatives. Tech Data Innovations serves mid-market and enterprise clients across healthcare, financial services, manufacturing, and technology, focusing on regulated, data-intensive environments.

Clients typically achieve significant reductions in manual operations and data errors, faster processing times, and substantial annual cost savings. The organization emphasizes building governed data ecosystems and AI-ready platforms that support sustainable, production-scale AI transformation.

DESCRIPTION OF SERVICES

8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.

Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system:
Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.

The Department of Information Resources (DIR) requires the services of a senior master data management administrator/developer, hereafter referred to as Worker, who meets the general qualification of Systems Analyst 3, Emerging Technologies and the specifications outlined in this document for Health and Human Services Commission (HHSC) Information Technology.

All work products resulting from the project shall be considered “works made for hire” and are the property of the HHSC. HHSC may include pre-selection requirements that potential Vendors (and their Workers) submit to and satisfy criminal background checks as authorized by the Texas law. HHSC will pay no fees for interviews or discussions, which occur during the process of selecting a Worker(s).

HHSC IT is continuing to develop an Enterprise Information Management (EIM) system under the Performance Management & Analytics System (PMAS).

This development effort will utilize an agile methodology based upon the approach currently in use at HHSC for the Performance Management & Analytics System (PMAS).

As a member of the agile development team, the worker responsibilities may include:

Overview

The Worker will serve as a senior master data management (MDM) Analyst/Architect, 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.

• 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…