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Business Intelligence and Data Management Technology Executive Director, DTS - UT System Administration

Job

University of Tennessee

Remote

Full-Time

Posted 2 weeks ago (Updated 2 weeks ago) • Actively hiring

Expires 5/28/2026

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Job Description

University of Tennessee Knoxville, TN ID:
7329291
Posted:
Newly posted
Application Deadline:
Open Until Filled Job Description Job Description Seasoned senior technical leader responsible for designing, delivering, and operating enterprise BI and data management solutions that turn data into trusted insights. This role blends hands-on technical ownership with stakeholder-facing leadership: you'll build and govern data platforms, lead a team of engineers and analysts, and translate business needs into scalable data products. The position reports to the AVP/AVC of Enterprise Applications and Process Improvement, requires a four-year degree, ten years of experience and is hybrid with an on-site presence in Knoxville, TN.
NOTE :
Employment-based visa sponsorship is not available (including, but not limited to, H-1B, TN, E-3, O-1, F-1 OPT/STEM
OPT, J-1
), etc.) Responsibilities Specific duties and responsibilities include but are not limited to the following: Strategy and Road map
  • Define and maintain the enterprise BI and data management roadmap aligned to CIO priorities and business objectives. Champion the use of emerging technologies, advanced analytics, and artificial intelligence to unlock new insights and drive value from data assets. Team Leadership and Development
  • Hire, mentor, and manage BI, data engineering, and data management staff; set performance goals and foster a collaborative culture. Stakeholder Engagement
  • Act as the primary technical liaison to business leaders and end users; gather requirements, present solutions, and translate technical tradeoffs into business terms. Platform Ownership
  • Lead architecture, implementation, and ongoing operations of the data platform and analytics stack; ensure reliability, scalability, and cost efficiency. Hands on Technical Leadership
  • Design and implement ETL/ELT pipelines, data models, semantic layers, and reporting solutions; participate in code reviews and complex technical work as needed. Data Governance and Quality
  • In conjunction with the AVP/AVC of Enterprise Applications and Process Improvement assist in the establishment of and enforcement of data governance, lineage, metadata management, and data quality standards across systems. Project Delivery
  • Oversee project planning, prioritization, and delivery; manage cross functional dependencies and ensure timely, high quality releases. Security and Compliance
  • Ensure data access controls, privacy, and regulatory compliance are implemented and audited. Vendor and Tool Management
  • Evaluate, select, and manage relationships with BI and data platform vendors and third party service providers. Performance Monitoring and Cost Control
  • Monitor platform performance and usage; optimize for performance and cost; report metrics to CIO and leadership.
NOTE :
Employment-based visa sponsorship is not available (including, but not limited to, H-1B, TN, E-3, O-1, F-1 OPT/STEM
OPT, J-1
), etc.) Qualifications Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, or related field. and 8+ years in data engineering, BI, or data platform roles with at least 3 years in a leadership capacity. Additional skills, experiences and qualifications include: Strong experience with data modeling, ETL/ELT, SQL, data warehousing concepts, and analytics/reporting tools. Proven ability to present technical concepts to non technical stakeholders and to gather business requirements effectively. Demonstrated experience building and managing high performing technical teams. Hybrid role based in Knoxville, TN; ability to work on site as required. Preferred Additional skills, experiences and qualifications include: Hands on experience with Microsoft Fabric and/or Oracle Fusion Data Intelligence. Cloud and Modern Data Stack — Experience with cloud data platforms (Azure and Oracle preferred), data lakehouse architectures, and modern orchestration tools. Relevant certifications in cloud platforms, data engineering, or BI tools. Prior work in higher education, government, finance, healthcare, manufacturing, or other regulated industries is a plus. Apply Now Please mention to the employer that you saw this ad on UniversityJobs.
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