Athletics Analytics Director: Strategy, Data & AI

WM001 William & Mary; United States; On-site; USD 113,000 - 138,000; Full time

Job summary

William & Mary is seeking an Associate Athletics Director for Sports Analytics to lead data strategy across 23 varsity programs. You will align analytics, AI, and technology with coaching and university IT partners, building a practical roadmap and governance framework.

The role emphasizes credibility with coaches, clear communication, and privacy compliance. Ideal candidates bring senior-level analytics leadership, cross‑functional experience, and a track record of translating complex data into

Qualifications

• Bachelor’s degree in analytics, statistics, data or related field.
• Significant experience in collegiate or professional sports analytics.
• Ability to translate technical findings for nontechnical audiences.
• Experience leading cross-functional projects with multiple stakeholders.
• Knowledge of BI, data visualization, and contemporary AI basics.

Responsibilities

• Set and lead department analytics, AI, and tech strategy across 23 sports.
• Partner with coaches for recruiting analytics and roster planning.
• Translate wearable, video, and biometric data into insights for performance.
• Govern data with privacy standards and build secure scalable architecture.
• Deliver dashboards for executive oversight and resource forecasting.
• Hire, supervise, and manage analytics staff and budgets.

Skills

Analytics leadership

Cross-functional collaboration

Data visualization

Communication skills

Staff management

Education

Bachelor's degree in analytics

Master's degree (preferred)

Tools

SQL

Python

R

BI tools / cloud platforms

Job description

William & Mary is seeking an Associate Athletics Director for Sports Analytics to lead data strategy across 23 varsity programs. You will align analytics, AI, and technology with coaching and university IT partners, building a practical roadmap and governance framework.

The role emphasizes credibility with coaches, clear communication, and privacy compliance. Ideal candidates bring senior-level analytics leadership, cross‑functional experience, and a track record of translating complex data into