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William & Mary

Public university in Williamsburg, VA

Associate Athletics Director for Sports Analytics

Corporate StrategyConfirmed live in the last 24 hours
Full-timeWilliamsburg, VA, USA$125k

About the Job

Requirements

  • A bachelor's degree in analytics, statistics, data or computer science, sport management, business, or a related field is required.
  • Significant, progressively responsible experience in collegiate or professional sports analytics, sports technology, performance science, or athletics administration is required.
  • Demonstrated ability to build credibility with coaches and translate between athletics and technical teams is required.
  • Experience leading cross-functional projects involving multiple stakeholders and competing priorities is required.
  • Working knowledge of business intelligence, data visualization, and contemporary artificial intelligence capabilities and risks is required.
  • Strong written and verbal communication skills, including translating technical findings for nontechnical audiences, are required.
  • Experience managing staff, budgets, or vendors is required.
  • A resume/CV and cover letter are required.

Responsibilities

  • Set and lead a department-wide analytics, artificial intelligence, and technology strategy across all 23 sports in partnership with coaches, sport administrators, and university technology partners.
  • Build a prioritized roadmap with milestones, ownership, and success measures that balances enterprise standards against each program's needs.
  • Advise the Director of Athletics and executive staff on technology investment, competitive intelligence, and organizational performance.
  • Serve as Athletics' primary liaison to the university's Sports Analytics minor, proposed for launch in Fall 2027, and support experiential-learning opportunities for students.
  • Partner with coaches to build recruiting analytics using prospect evaluation, video, statistics, and transfer-portal data to sharpen identification and communication.
  • Support roster construction and scholarship/name, image, and likeness resource planning so coaches get maximum return from resources.
  • Apply artificial-intelligence-assisted evaluation methods responsibly, with human review and clear privacy safeguards for prospective student-athletes.
  • Partner with coaching and performance staff on opponent scouting, game planning, and in-game and post-game decision support.
  • Translate wearable, video, tracking, and biometric data into training-load and readiness insights in coordination with Sports Medicine and Sports Performance.
  • Deliver tailored dashboards and tools built around how each sport prepares and competes.
  • Partner with University IT to build a secure, scalable data architecture and integrate systems spanning recruiting, video, wearables, academics, and business operations.
  • Establish a responsible artificial intelligence framework that includes approved tools, human review for high-impact decisions, and staff training.
  • Chair the athletics data-governance function, setting access, privacy, and security standards consistent with FERPA, HIPAA where applicable, and NCAA/conference rules.
  • Build executive dashboards spanning competitive, academic, financial, and operational performance.
  • Support budgeting, scheduling, and resource-allocation decisions with forecasting and scenario modeling.
  • Deliver an annual analytics impact report on adoption, outcomes, and return on investment.
  • Hire, supervise, and develop analytics staff, graduate assistants, and student analysts.
  • Manage the analytics/technology budget, vendor contracts, and system implementations.
  • Represent Athletics on university data-governance and technology committees.
  • Attend practices, competitions, and recruiting events regularly.
  • Maintain evening, weekend, holiday, and travel availability.

Desired Qualifications

  • A master's degree in a relevant field is preferred.
  • Direct experience across multiple sports, including recruiting/transfer analytics and opponent scouting, is preferred.
  • Proficiency with SQL, Python or R, cloud data platforms, and modern business-intelligence tools is preferred.
  • Experience applying machine learning, generative artificial intelligence, computer vision, or forecasting to sports is preferred.
  • Familiarity with NCAA/conference rules and data-privacy regulation, including FERPA and related requirements, in collegiate athletics is preferred.

About the Company

William & Mary

Public university in Williamsburg, VA

William & Mary is a public research university in Williamsburg, Virginia. It combines liberal arts and sciences education with graduate study and research programs.

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