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. Start Here, Change the World At The University of Texas at Austin, tradition meets innovation in the heart of a city that frequents lists of the best places to live and work. Named by Forbes as one of America's Best Large Employers for the sixth year in a row in 2025, UT offers both a dynamic work environment and a gateway to vibrant local culture. 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.Please see our . Comments and Inquiries : Email comments to hrsc@austin.utexas.edu. For questions or concerns regarding equal opportunity only, contact .Additional information for applicants can be found on the Human Resources web page : . For more job information, call the Human Resource Service Center at (512) 471-4772, or toll-free at (800) 687-4178.
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