Data Engineer Manager

* Recruits, mentors, and manages a team of data engineers, fostering a high-performance and inclusive team culture.
* Conducts performance evaluations, sets development goals, and supports career progression.
* Promotes collaboration, innovation, and continuous learning through team meetings, code reviews, and knowledge-sharing sessions.
* Aligns team goals with organizational priorities and strategic initiatives.
* Ensures adherence to engineering best practices and coding standards.
* Works closely with clinical, operational, and financial stakeholders to define data needs and translate business requirements into technical specifications.
* Facilitates cross-functional communication between IT, analytics, clinical informatics, and business intelligence teams.
* Leads discovery sessions and data mapping exercises to ensure alignment between data engineering deliverables and business objectives.
* Supports the development of dashboards, reports, and predictive models by enabling access to clean, well-structured data.
* Contributes to the development and execution of the enterprise data strategy and roadmap.
* Evaluates emerging technologies and recommends adoption to improve scalability, performance, and cost-efficiency.
* Aligns data engineering initiatives with strategic goals of the healthcare system, including population health, value-based care, and operational excellence.
* Participates in long-term planning for data infrastructure modernization and cloud migration.
* Manages the data engineering team’s operational budget, including software licenses, cloud services, training, and professional development.
* Tracks resource utilization and optimizes operational efficiency through capacity planning and workload balancing.
* Supports vendor selection, contract negotiations, and license renewals for data platforms and tools.
* Provides input into capital planning and technology investment decisions.
* Participates in enterprise-wide data governance committees.
* Presents at internal and external conferences or forums.
* Assists in grant writing or research data infrastructure proposals.
* Conducts periodic system performance audits.
* Adheres to internal controls and reporting structure.
* Performs related duties as required.
* Evaluates and integrates new tools (e.g., cloud platforms).
* Encourages experimentation and innovation.
* Maintains fluency in modern data engineering stacks.
* Tracks progress and outcomes.
* Provides timely feedback.
* Establishes clear roles and responsibilities.
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Whether you're at the forefront of the student experience, conducting world-changing research or supporting the engine that drives Texas’ flagship university, working at UT means making a lasting impact on our city, our state and our world.

Our more than 20,000 faculty and staff empower 55,000+ students to challenge ideas, pursue passions and shape their futures. Joining UT, you’ll become part of a community dedicated to making a meaningful impact on campus and throughout the world.

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