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  • Director of AI and Data Solutions
    TV PRODUCTION/MEDIA
    Old Dominion University

    As the Director of AI & Data Solutions at ODU, you will lead the strategic vision, development, and implementation of artificial intelligence, machine learning, data engineering, and data integration initiatives. You will play a key leadership role in transforming how data is used to inform decision-making, improve services, and enable intelligent automation across the university. This position requires strong cross-functional collaboration with IT, academic departments, institutional research, and external partners to deliver scalable and ethical data-driven solutions aligned with the university’s goals.

     

    Minimum Qualifications

    • Master’s Degree in Computer Science, AI, Data Science, Engineering, Information Systems, or a related field. Or a bachelor’s in a related field with prior related work experience equivalent to a master’s degree.

    • Strong programming skills in Python, R, SQL, or Java and experience with modern AI/ML frameworks (e.g., TensorFlow, PyTorch).

    • Deep understanding of data architecture, data modeling, pipelines, and warehousing in a complex IT environment.

    • Exceptional leadership, communication, and stakeholder engagement skills.

    • Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud), especially those used for AI and big data processing.

    • Hands-on experience with data integration tools such as Informatica, Boomi, Mulesoft, or equivalent.

    • Demonstrated experience in AI/ML solution development, data engineering, and enterprise-level data integration.

    • Flexibility to work outside of standard office hours as needed to support system implementations and upgrades.

    • Commitment to ongoing professional development in AI, machine learning, and data solutions.


    Preferred Qualifications

    • A Ph.D. is preferred.

    • Experience working in a higher education or research-intensive environment.

    • Familiarity with enterprise data models and common higher education systems (e.g., SIS, LMS, CRM).

    • Experience implementing data lakes, lakehouses, or mesh architectures.

    • Certifications in AI/ML, cloud architecture, or data integration tools.



 


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