{"resourceId":"william-mary-associate-ad-sports-analytics-ai-governance-posting-2026-10-08","versions":[{"version":"external-ef58eb0189f19cc10ef72f4c1942023ac085a9b447791189f2fbd7b06fd1226d","resource":{"id":"william-mary-associate-ad-sports-analytics-ai-governance-posting-2026-10-08","title":"William & Mary posts an associate AD role to run department-wide analytics and AI strategy across 23 sports, with a responsible-AI framework, data-governance chair and annual ROI report","organization":"William & Mary Athletics (posting on CollegeSports.jobs)","sector":"Athletics administration / sports analytics and AI governance","geography":"United States (Williamsburg, Virginia; NCAA Division I)","publishedAt":"October 8, 2026","publicationDate":"2026-10-08","eventDate":null,"sourceName":"CollegeSports.jobs (William & Mary job posting)","sourceLabel":"Institutional job posting","sourceUrl":"https://collegesports.jobs/jobs/william-mary-associate-athletic-director-for-sports-analytics","evidenceClass":"vendor-claim","outcomeClass":"emerging","topics":["operating-model","governance-procurement","data-security","accessibility-workforce"],"finding":"William & Mary's posting (dated October 8, 2026 on CollegeSports.jobs) for an Associate Athletic Director for Sports Analytics allocates duties by percentage: 25% strategy and leadership, including a department-wide analytics, AI and technology strategy across all 23 sports and a roadmap with milestones, ownership and success measures; 20% recruiting and roster analytics, including scholarship/NIL resource planning and AI-assisted evaluation 'with human review and clear privacy safeguards for prospective student-athletes'; 15% competitive and performance analytics, including wearable, tracking and biometric data coordinated with sports medicine; 15% data, technology and AI governance, including a responsible AI framework (approved tools, human review for high-impact decisions, staff training) and chairing athletics data governance under FERPA, HIPAA where applicable and NCAA/conference rules; 15% business analytics, including an annual analytics impact report on adoption, outcomes and ROI; and 10% staff and vendor management. Required qualifications include working knowledge of contemporary AI capabilities and risks. The role is restricted-term and subject to available funding; salary is not provided. The posting also names a proposed Sports Analytics minor launching Fall 2027.","sledRelevance":"Why now: the posting was promoted in College.town's D3.ticker for October 14–16, 2026 and is not archived. It is the first archived example of a Division I department writing AI governance, human review and ROI reporting into one accountable administrator's job description, which speaks directly to the governance and ownership gaps raised in earlier editions. Interpretation: it gives buyers a template for where AI ownership can sit in an athletic department.","evidence":"Primary institutional job posting viewed on a jobs board. It states intent and planned duties, not implemented controls or results. Funding is conditional and the term is restricted. No budget, tool list or baseline is given.","architectureImplications":"Calls for a secure, scalable data architecture built with university IT that integrates recruiting, video, wearables, academics and business systems, plus BI dashboards and forecasting. Preferred skills include SQL/Python/R, cloud data platforms, machine learning, generative AI and computer vision.","governanceImplications":"Places an approved-tool list, human review for high-impact decisions, staff training and a data-governance chair under one athletics administrator, with an annual impact and ROI report. Interpretation: this creates a named owner and a reporting cadence, but the posting does not say how the framework relates to university-wide AI policy.","securityPrivacyImplications":"Explicitly covers prospective student-athlete privacy in AI-assisted evaluation and biometric and wearable data handled with sports medicine, under FERPA and HIPAA where applicable. No retention, consent or vendor data-use terms are specified.","caveats":"Job posting only; the hire, funding and framework may not materialize. Restricted-term, funding-dependent role. Not an evaluation of any AI tool.","streamIds":["college-athletics"],"roles":{"sales":"Sales framing: a mid-sized Division I department is budgeting a senior owner for AI strategy, governance and ROI reporting before most peers have one. Interpretation: departments writing similar roles need help drafting the responsible-AI framework, approved-tool list and first-year ROI measures the posting promises. A bounded offer is a governance and measurement starter kit for the new hire's first 90 days. Do not claim the role exists yet, that funding is secured, or that AI will deliver recruiting gains; the posting shows intent only.","engineering":"Engineering framing: the posting asks one person to integrate recruiting, video, wearable, academic and business data with university IT and to stand up dashboards and forecasting. Engineers should expect identity, data-sharing and FERPA/HIPAA boundary work before any model. Proof of value is a documented data inventory, access model and one integrated dashboard, not a model demo. Applicability is limited to departments with central IT willing to host athletics data.","delivery":"Delivery framing: the posting puts governance, adoption and ROI reporting on one owner, which helps accountability but concentrates risk if the restricted-term role lapses. Interpretation: delivery should define the approved-tool list, a human-review rule for recruiting and medical decisions, and a baseline for the annual impact report in the first semester. Acceptance should rest on documented decisions and data access reviews, not tool counts."},"roleDetails":{"sales":{"customerProblem":"Athletic departments are adopting AI across recruiting, performance and operations with no single owner for strategy, governance or proof of return.","stakeholders":["Director of Athletics","Executive staff and sport administrators","Head coaches","Sports medicine and performance","University IT and data governance","Compliance and general counsel"],"discoveryQuestions":["Who owns AI tool approval in athletics today?","Which decisions count as high-impact and need human review?","How will the annual ROI report set a baseline?","How does the athletics AI framework align with campus AI policy?","What happens to governance if the restricted-term role ends?"],"valueHypothesis":"A named owner with a framework and baseline could make AI spending in athletics easier to justify and audit, if funding and campus IT support hold.","potentialEngagement":"A 90-day responsible-AI framework and measurement baseline for a newly appointed athletics analytics leader.","unsupportedClaims":["The role has been filled or funded","Measured recruiting or competitive gains","Implemented privacy controls","A defined ROI figure"]},"engineering":{"fit":"Division I departments with multiple data systems (recruiting, video, wearables, academics) and a central IT partner.","architectureIntegration":"University-IT-built data platform integrating recruiting, video, wearable, academic and business systems, feeding BI dashboards, forecasting and AI-assisted evaluation with human review.","prerequisites":["Data inventory across athletics systems","Agreement with university IT on hosting and access","FERPA/HIPAA boundary decisions with sports medicine","Approved-tool list"],"constraints":["Restricted-term, funding-dependent role","Biometric and medical data under HIPAA where applicable","NCAA and conference rules on recruiting data","No stated budget for platforms"],"security":"Role-based access by sport and function, separation of medical and performance data, and review of what prospect data may enter third-party AI tools.","proofOfValue":["Complete a data inventory with owners and legal basis","Pilot one integrated dashboard for one sport","Document human review on a sample of AI-assisted recruiting evaluations","Produce a baseline for the annual impact report"]},"delivery":{"work":"Hire the leader, approve the AI framework and tool list, build the data-governance group, integrate priority data sources and set baselines for the annual impact report.","dependencies":["Funding approval","University IT partnership","Sports medicine and compliance sign-off","Coach buy-in"],"ownership":"Associate Athletic Director for Sports Analytics, reporting to the Director of Athletics, with university data governance as control partner.","skillsAdoption":"Train coaches and staff on approved tools and human-review rules; develop graduate assistants and student analysts.","governanceCheckpoints":["Responsible-AI framework approved before tool rollout","Data-governance charter adopted","Human-review rule for high-impact decisions documented","Annual impact report reviewed by executive staff"],"acceptanceCriteria":["Proposed: approved-tool list published to staff within one semester","Proposed: data inventory covers all priority systems","Proposed: 100% of AI-assisted prospect evaluations logged with a human reviewer","Proposed: first annual impact report includes baselines"],"risks":["Role not funded or lapses","Framework diverges from campus AI policy","Prospect privacy breaches through third-party tools","Coach resistance","ROI report without baselines"]}},"retrievedAt":"2026-10-18T22:15:29-05:00","enrichedAt":"2026-10-18T22:18:50-05:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Creates a senior analytics/AI role and staff pipeline (graduate assistants, student analysts) tied to a proposed Sports Analytics minor.","procurementImplications":"The role manages the analytics and technology budget, vendor contracts and system implementations, which centralizes AI vendor decisions.","operatingModelImplications":"Moves AI from sport-by-sport adoption to a department-wide roadmap with one owner and an annual ROI report.","sourceVerification":{"responseId":"curl-collegesportsjobs-wm-20261019T031529Z","openedUrl":"https://collegesports.jobs/jobs/william-mary-associate-athletic-director-for-sports-analytics","referenceExcerpt":"Establish a responsible AI framework — approved tools, human review for high-impact decisions, and staff training.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}