Associate Director, Industry & Research Partnerships

University of Texas; Austin (TX); On-site; USD 125,000 - 150,000; Full time

Job summary

The University of Texas at Austin is seeking an Associate Director, Industry & Research Relations in the School of Computing to lead industry partnerships and the AI Project Lab. You will work with faculty, sponsors, and UT stakeholders to design, sustain, and grow engagement programs that connect research with industry needs.

The role emphasizes relationship-building, program design, and data-driven decision making, supporting AI and data science initiatives across the university and its

Qualifications

• Bachelor’s degree in a science or engineering field.
• At least five years of experience in business development, corporate or industry relations, partnerships, or a comparable role.
• Ability to design, launch, and scale standardized programs and processes.
• Experience with CRMs and creating reports or dashboards to guide decisions.

Responsibilities

• Manage the AI Project Lab (AIPL) design, calendar, and delivery across cycle stages.
• Renew and recruit industry sponsors; maintain value proposition and repeatable processes.
• Oversee partner terms, contracts, and data access in collaboration with UT offices.
• Develop and refine sponsorship structures using cohort data and stakeholder feedback.
• Build dashboards and reports to translate data into actionable recommendations for leadership.

Skills

Business development

Relationship management

CRM management

Data analysis

Project management

Communication

Strategic thinking

Cross-functional collaboration

Education

Bachelor’s degree in science or engineering

Tools

Salesforce

Power BI

Tableau

Job description

The University of Texas at Austin is seeking an Associate Director, Industry & Research Relations in the School of Computing to lead industry partnerships and the AI Project Lab. You will work with faculty, sponsors, and UT stakeholders to design, sustain, and grow engagement programs that connect research with industry needs.

The role emphasizes relationship-building, program design, and data-driven decision making, supporting AI and data science initiatives across the university and its