Hybrid - Sr. AVP - Account Manager - Sports Analytics & AI Strategy - New York

Only for registered members New York, United States

1 month ago

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Job summary

We are seeking an elite football professional to join our Sports & Entertainment division. In this high-impact project-based role, you will act as a strategic advisor and technical lead bridging the gap between advanced data science and on-field football operations.

Responsibilities

  • Ai strategy generative ai innovation framework development define and lead the ai strategy across both football business functions identifying high-value opportunities for machine learning ml computer vision nlp generative ai prototyping execution develop deploy lightweight prototypes specifically focused on automated personnel reporting ai-powered prospect research agents governance establish policies ensuring ethical use model transparency data privacy compliance
  • ,
  • Football analytics modeling predictive frameworks oversee development of models simulation tools optimization frameworks tailored to draft analysis roster construction in-game strategy data integration synthesize tracking biometric scouting data actionable insights general manager coaching staff model refinement build scale player trait models transformers mlops automation create standardized pre-made transformations repeatable excel requests front office infrastructure support support migration databricks launch mlops platform unlock advanced tools strategic reporting deliver detailed coaching performance prospect reports minimal bias execution velocity qualification master s phd statistics mathematics computer science sports analytics related field 5 years experience demonstrated sports football preferred strong programming python r sql hands-on machine learning scikit-learn tensorflow pytorch foundation statistics probability experimental design communication skills explain complex analyses non-technical audiences direct event tracking performance analysis tools visualization tableau power bi matplot seaborn familiarity mlops deployment version git understanding tactics roles performance metrics must have advance expertise communication stakeholder translation domain knowledge predictive modeling data science programming skill python r sql strategic thinking
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