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    Jason Loveland

    VP of AI at Nike

    Jason Loveland is a seasoned Executive Leader who has been instrumental in driving Nike's digital transformation through the implementation of AI and advanced data products across various sectors like supply chain, marketplace, consumer engagement, and product innovation.

    With a strong background in technology and mentoring, Jason is a Full Stack Software Architect, adept at helping organizations develop and deploy elastically scalable applications that leverage data analytics and artificial intelligence.

    His expertise spans a wide array of domains including Personalization, Consumer Data Analytics, Demand Sensing, Athlete Performance, Sports Data, Ads Segment Delivery, Cybersecurity, Space Telemetry, IoT, and Geospatial Intelligence.

    Jason's skill set includes Executive Leadership, Engineering Management, Data and Analytics Strategy, Acquisitions, Enterprise Architecture, AI, Machine Learning, Scalable APIs, Microservices, Big Data Analytics, Cloud Computing, and Modeling and Simulation.

    He pursued his Bachelor of Engineering in Computer Engineering from Villanova University and later completed his MSIM in Engineering, Modeling, and Simulation at Old Dominion University.

    Jason has held key leadership positions at Nike, where he served as VP of Enterprise AI/ML Engineering, Head of AI and Machine Learning Engineering, and Interim VP of Enterprise Data & Analytics. Prior to his roles at Nike, he also worked at ESPN and Lockheed Martin in various engineering and architecture capacities.

    Apart from his corporate roles, Jason has contributed to open source projects and has a diverse professional background that reinforces his expertise in the field of technology and data-driven decision-making.

    Jason Loveland
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    Location

    Avon, Connecticut, United States