Director of AI and Data Solutions

Virginia Department of Human Resource Management

United States

Director of AI and Data Solutions

Title: Director of AI and Data Solutions

Agency: VP DIGITAL TRANSFORMATION & TECHNOLOGY

Location: Remote

FLSA: Exempt

Hiring Range:

Full Time or Part Time:

Additional Detail

Job Description: 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.

Additional Considerations:

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.

Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer

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Vacancy posted 3 days ago

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