Overview
Remote
Full Time
Skills
FLSA
Recruiting
Decision-making
Collaboration
Computer Science
Data Science
Information Systems
Python
R
SQL
Java
TensorFlow
PyTorch
Data Architecture
Data Modeling
Warehouse
Leadership
Communication
Stakeholder Engagement
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Big Data
Informatica
Boomi
MuleSoft
Software Development
Data Engineering
Professional Development
Research
Higher Education
LMS
Customer Relationship Management (CRM)
Artificial Intelligence
Machine Learning (ML)
Cloud Architecture
Data Integration
Job Details
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.
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.
- 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.