Data Management Officer
Listed on 2026-09-04
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IT/Tech
Information & Knowledge Management, Data Analyst, Data Engineering, Information Security & Data Protection
Job Title:
Data Management Officer
Agency:
Prairie View A&M University
Department:
Institutional Research and Effectiveness
Proposed Minimum Salary: commensurate
Job Location:
Prairie View, Texas
Job Type: Staff
Important Immigration information: A Presidential proclamation issued on September 19, 2025, imposes a $100,000 fee on new H-1B petitions filed after September 21, 2025. Please be advised that Texas A&M University will NOT pay this fee. Therefore, if you need immigration sponsorship for your employment, we recommend that you consult with your private immigration counsel at your own expense to ascertain whether your current immigration status would make a potential offer of employment from Texas A&M University subject to this fee.
In addition, on January 27, 2026, Texas Governor Abbot issued a moratorium on the filing of any new H-1B unless approved by the Texas Workforce Commission. Accordingly, if you will now or in the future require sponsorship for employment visa status this moratorium may affect our ability to employ you should you be selected as the final candidate.
The Data Management Officer (DMO) is a senior administrative role responsible for advancing enterprise-wide data governance, stewardship, quality, and compliance with Texas Senate Bill 475 (SB 475) requirements. The DMO will serve as a strategic leader in managing institutional data assets, driving data maturity assessment activities, and implementing data management policies aligned with TAMUS data governance frameworks. The position requires deep technical knowledge of data architecture, metadata management, data lifecycle processes, analytics platforms, and best practices in higher education data governance.
The salary is determined in accordance with the University’s compensation structure and will be commensurate with the candidates’ education and experience, within the assigned salary range for this position.
Lead development, implementation, and continuous improvement of enterprise data governance policies, standards, and procedures in alignment with SB 475 and TAMUS expectations. Serve as subject-matter expert for data governance bodies (e.g., Data Governance Council, Data Stewards committees), providing guidance on policy interpretation and data stewardship responsibilities. Coordinate with functional leaders, IT, and institutional research teams to ensure consistent application of data definitions, taxonomies, and standards across academic and administrative domains.
DataManagement & Compliance
Oversee institutional data inventory development and maintenance, ensuring accurate documentation of data sources, data owners, business rules, and data usage. Drive compliance with SB 475 requirements, including maturity assessment preparation, reporting, and gap remediation planning. Ensure privacy, security, and regulatory compliance related to institutional data, working in collaboration with Information Security, Records Management, and Legal offices.
Data Maturity AssessmentPlan, coordinate, and conduct enterprise data maturity assessments using recognized best-practice frameworks (e.g., DCAM, DAMA DMBOK, Gartner, EDM Council). Analyze maturity assessment results and prepare actionable findings, recommendations, and executive briefings to support institutional decision‑making and strategic planning. Lead cross-functional teams through assessment activities, data collection, gap analysis, and prioritization of improvement initiatives.
Data Architecture & TechnologyProvide technical leadership for data integration, data architecture design, metadata management, and master data management (MDM) solutions. Collaborate with IT leadership on data platforms, data warehouses, analytics environments, data quality tools, and APIs to ensure scalable and reliable data infrastructure. Evaluate and recommend tools and technologies that support enterprise data governance, data cataloging, lineage, profiling, and quality monitoring.
Data Quality & StewardshipEstablish quantitative data quality metrics, dashboards, and monitoring processes to proactively detect and resolve data…
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