Job Description
The Opportunity:
Are you ready to shape the digital legacy of the world's most anticipated sporting event? We are the premier technology partner for the 2026 FIFA World Cup, and we are seeking a visionary Lead AI Strategist to spearhead our predictive analytics and machine learning initiatives.
In this high-impact role, you will be responsible for architecting the AI infrastructure that powers real-time fan experiences, stadium operations, and global logistics. If you thrive in a fast-paced environment and want to leave a mark on history, this is your chance to join the team building the future of sports technology.
Why Join Us?
- Work on a global scale impacting millions of fans.
- Collaborate with industry leaders in AI and sports analytics.
- Competitive compensation package with equity options.
- Flexible remote and hybrid work policies.
Responsibilities
- Architect Scalable AI Solutions: Design and deploy end-to-end machine learning pipelines to handle real-time data processing for over 5 million concurrent users across 16 host stadiums.
- Predictive Modeling: Develop advanced algorithms to forecast fan attendance, optimize ticket pricing, and manage venue capacity dynamically.
- Stadium Operations: Leverage Computer Vision and IoT data to improve security protocols and operational efficiency in major sporting venues.
- Data Governance: Establish robust data governance frameworks ensuring the privacy and security of global user data in compliance with international standards.
- Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- Stakeholder Collaboration: Partner with marketing and operations teams to translate complex AI insights into actionable business strategies.
Qualifications
- Education: Master’s or PhD in Computer Science, Data Science, Statistics, or a related field.
- Experience: 8+ years of experience in data science, AI, or machine learning, with at least 3 years in a leadership or architectural role.
- Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Apache Spark, Kafka).
- Domain Knowledge: Demonstrated experience working with large-scale event infrastructure or enterprise-level big data systems.
- Soft Skills: Exceptional communication skills with the ability to translate technical concepts for non-technical stakeholders.
- Travel: Willingness to travel to host cities (USA, Canada, Mexico) for strategic planning and on-site deployment.