Associate Executive Director

Job Title

Associate Executive Director, Director of AI & Data‑Intensive Computing

College Station, Texas

Staff

As the Director of AI and Data‑Intensive Computing, you will shape the future of artificial intelligence, machine learning, and data‑driven research at Texas A&M. In this pivotal leadership role you will help drive the strategic vision for a nationally competitive center in computational and data‑enabled science, working closely with the HPRC Executive Director to guide operations, set direction, and enhance the university’s research capabilities.

• Lead the strategic vision and operational direction of the HPRC AI & Data‑Intensive Computing initiatives.
• Oversee the AI development and support team, mentoring staff and ensuring robust, scalable solutions.
• Empower faculty and researchers to integrate AI capabilities into their applications.
• Direct the development of custom AI agents and applications that solve campus needs.
• Establish and lead machine‑learning operations practices, including continuous monitoring, tuning, and management of models in production.
• Develop AI literacy training material and lead training efforts across departments and colleges.
• Drive adoption of AI and data‑intensive technologies across the Texas A&M research enterprise.
• Serve as subject‑matter expert, communicating the value and application of AI to diverse audiences.
• Provide recommendations to the Executive Director on fiscal, personnel, administrative, and technical matters.
• Develop a comprehensive AI and data science roadmap, identifying high‑impact opportunities.
• Engage campus leaders to envision opportunities enabled by AI and data.
• Establish performance indicators, metrics, and benchmarks to measure AI‑related initiatives.
• Stay current on advancements in machine learning, data science, and generative AI, evaluating their potential for HPRC users.
• Lead or co‑lead research projects as Principal Investigator or Co‑Principal Investigator, securing and managing research funding.
• Represent HPRC at regional, national, and international initiatives and events.
• Supervise assigned staff, coaching them to take ownership and grow professionally.

• Bachelor’s degree or equivalent experience; significant experience in AI, data science, computing engineering, or information systems.
• Minimum ten years of progressively responsible experience in AI, data science, or a related field, plus at least five years of supervisory experience.
• Preferred:
  Ph.D. in computer science, AI, data science, computer engineering, or a related field.
• Experience with a supercomputing center in higher education or a public sector environment.
• Experience implementing data lakes, lake houses, or mesh architectures; familiarity with data governance best practices.
• Certifications in AI/ML, cloud architecture, or data integration tools.
• Strong programming skills in Python, R, SQL, C++ and familiarity with Tensor Flow and PyTorch.
• Deep understanding of LLMs, foundation models, data architecture, pipelines, and warehousing in a complex HPC environment.
• Experience with commercial cloud platforms (AWS, Azure, Google Cloud) for AI and data‑intensive processing.
• Demonstrated experience in AI/ML solution development, data engineering, and enterprise‑level data platforms.
• Exceptional leadership, communication, and stakeholder engagement skills.

• May require up to 10% or more travel.
• May require work beyond normal office hours and/or on weekends.
• Ability to occasionally work outside of normal working hours and weekends, possibly with domestic travel.

Compensation will be commensurate with the selected hire’s experience.

• Medical, prescription drug, dental, vision, life and AD&D, and flexible spending accounts.
• Degree‑support, tuition assistance, and educational release time.
• Competitive paid holidays, sick leave, and vacation.
• Teacher Retirement System of Texas enrollment and health and wellness programs.
• Professional development opportunities, including free Linked In Learning access.

Equal Opportunity/Veterans/Disability Employer. All positions are security‑sensitive; applicants are subject to a criminal history investigation, and employment is contingent upon credential verification and other institutional requirements.