Our client is the global leader in sports technology. From live event data and decades of historical archives to cutting-edge AI and machine learning, they deliver actionable insights to the world’s most respected sports organizations, broadcasters, and teams. Behind every stat and visual is a world-class team of engineers, developers, analysts, and product experts. Now, they’re expanding.

We are seeking a visionary Vice President of AI & Computer Vision to lead the design, development, and deployment of next-generation AI Platforms. This executive will oversee the strategy and build-out of advanced computer vision (CV) and machine learning (ML) solutions that power real-time sports data collection, athlete tracking, video analysis, and fan engagement products.

The SVP will partner cross-functionally across product, engineering, operations, and commercial teams, building a highly scalable AI/CV stack on Amazon Web Services (AWS) infrastructure. This leader will be accountable for technical excellence, innovation velocity, and building a world-class engineering culture around data, models, and applied ML.

Responsibilities:

  • Define and execute our client’s AI and Computer Vision strategy for automated sports data collection, video intelligence, and platform scalability.
  • Lead the design and build of cloud-based AI pipelines utilizing AWS tools such as SageMaker, Rekognition, Bedrock, Kinesis Video Streams, and Lambda.
  • Oversee teams developing real-time CV models for player/object tracking, ball trajectory, skeletal keypoints, and broadcast automation.
  • Build AI/ML platforms that optimize latency, model accuracy, and computational efficiency under live sports conditions.
  • Partner with product leaders to translate technology capabilities into new B2B sports data monetization opportunities.
  • Drive best-in-class data quality frameworks, leveraging annotation pipelines, synthetic data generation, and MLOps governance.
  • Recruit, develop, and retain top CV/ML scientists, data engineers, and platform architects.
  • Collaborate with clients, federations, and ecosystem partners on adoption of automated data capture solutions.

Qualifications:

  • 15+ years of leadership experience in AI/ML, with at least 7+ years leading Computer Vision-centric platforms at scale.
  • Proven experience scaling cloud-native architectures on AWS, including real-time ingestion, training, deployment, and monitoring of ML models.
  • Deep expertise in computer vision methods (detection, tracking, segmentation, multimodal models).
  • Strong command of MLOps frameworks (SageMaker, Kubeflow, MLFlow, Ray) and modern data pipelines.
  • Background working in sports technology, broadcast, or real-time tracking systems preferred.
  • Track record of leading large-scale technical organizations (50+ engineers/scientists).
  • Strong P&L understanding and ability to align AI investments with business growth objectives.