Job Description
Are you ready to shape the future of global sports analytics? Global Sports Futures is looking for a visionary Senior Data Strategist to join our elite team dedicated to the 2026 World Cup initiative. In this high-impact role, you will lead data architecture projects that drive decision-making for stadium operations, fan engagement, and strategic partnerships. You will work at the intersection of technology and sports, utilizing cutting-edge machine learning to predict trends and optimize logistics for one of the world's biggest events.
As a key player in our 2026 roadmap, you will be responsible for building the data foundation that ensures seamless operations and unparalleled fan experiences across the host cities. This is a rare opportunity to leave a lasting legacy in the sports industry.
As a key player in our 2026 roadmap, you will be responsible for building the data foundation that ensures seamless operations and unparalleled fan experiences across the host cities. This is a rare opportunity to leave a lasting legacy in the sports industry.
Responsibilities
- Architect and manage scalable data pipelines to process real-time and historical data points related to the 2026 event.
- Lead a team of analysts in developing predictive models for attendance forecasting, ticket pricing strategies, and fan sentiment analysis.
- Collaborate with cross-functional stakeholders, including marketing and operations, to translate complex data into actionable business intelligence.
- Ensure the highest standards of data integrity, security, and compliance for all 2026 project assets.
- Optimize digital platforms and mobile applications to enhance the user experience for millions of international fans.
- Present executive-level insights to the board regarding strategic growth opportunities.
Qualifications
- 7+ years of experience in Data Science, Analytics, or Business Intelligence, with at least 3 years in a leadership or strategic capacity.
- Expert proficiency in Python, SQL, and advanced data visualization tools such as Tableau or PowerBI.
- Proven track record of managing large-scale projects, preferably within the Sports, Entertainment, or Hospitality industry.
- Strong understanding of machine learning algorithms, A/B testing methodologies, and big data technologies.
- Exceptional communication skills with the ability to explain complex technical concepts to non-technical audiences.
- Master’s degree in Data Science, Statistics, Computer Science, or a related field is highly preferred.