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Data Management Officer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: TSABAA
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Analyst, Information Security & Data Protection, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 140000 - 145000 USD Yearly USD 140000.00 145000.00 YEAR
Job Description & How to Apply Below

Working title:

Data Management Officer
Class title:
Data Officer
Posting No.: 0505-26
Opening Date: 05/07/2026
Closing Date:
Open Until Filled

Location:

North Campus, 1106 Clayton Ln., Austin, TX 78723
Class Code: 0217
FLSA:
Computer-Exempt
Salary Group/Salary: B29, $ – $/yr.
Division:
Information Technology
Number of positions: 1

General Description

The Data Management Officer performs highly advanced (senior-level) data management program orchestration, data analysis, and data architecture work, essential for TDLR to fulfill its mission of service to the citizens of Texas. Work involves providing direction and guidance on strategic operations, modernization initiatives, and enterprise-wide data governance. The Data Management Officer is responsible for developing and implementing policies, standards, designs, and action plans on enterprise-wide information governance, data system integrity and integration, and the use of data for business intelligence and analytics as they relate to program management, strategic planning, and organizational assessment.

Work is performed under minimal supervision, with extensive latitude for the use of initiative and independent judgment, while planning and implementing data management projects. This position reports directly to the Chief Information Officer in the Information Technology Division.

Essential Job Functions
  • Develop, maintain, and oversee the agency’s data management program for the effective use of agency data and the training of staff on the use of agency data and data analytics systems.
  • Oversee the design, integration, and staging of data architecture and storage methodologies.
  • Orchestrate the development and maintenance of controls on data quality and integrity, including the deployment of data quality monitoring systems and processes.
  • Develop policies and controls for the appropriate use and protection of enterprise information assets through a defined life cycle.
  • Assist agency staff with developing process for answering information requests and quantitative data analysis to measure and draw conclusions regarding effectiveness of agency program outcomes and to define data elements and reporting standards.
  • Ensure that appropriate audit controls exist for data that serves as the source material for regulatory reports; that changes in business practices within operational units maintain data system integration and reporting standards; and that reports derived from enterprise data consistently use business intelligence and analytics for decision making and strategic planning.
  • Identify information security compliance requirements based on the nature of the business unit process or function and the type of data that is collected, stored, managed, and maintained to provide direction on secure application architecture, design, development, and testing.
  • Serve as primary data advisor to the Chief Information Officer.
  • Create and maintain public-facing and internal dashboards, participate in statewide data coordination initiatives, and utilize data governance tools.
  • Define, manage, and control master data and metadata management policies, controls, and standards using modern platforms based on DAMA framework.
  • Assist in the preparation of the agency’s Legislative Appropriations Request, Strategic Plan, performance reports, cost estimates and legislatively mandated studies and assessments.
  • Monitor data management, privacy, and information security legislation, regulations, standards, guidelines, advisories, and alerts, and apply recommendations and/or take action as required.
  • Monitor websites, newsgroups, organizations, and publications to identify emerging methods and technologies related to data/information management and analysis; recommend best practices and…
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