ATP Tour

About ATP Tour:

The ATP Tour is responsible for organizing and showcasing the highest level of men’s tennis through a global calendar of events and tournaments. It brings together the world’s leading players, events, and partners under a unified structure, ensuring consistency, integrity, and excellence in competition. Beyond staging matches, the ATP Tour acts as a steward of the game, setting standards for professionalism, fairness, and innovation while continually evolving to meet the expectations of players, fans, and stakeholders worldwide.

At its core, the ATP Tour stands for meritocracy, global reach, and the enduring appeal of individual athletic performance. The organization is committed to growing the sport’s impact - expanding its audience, enhancing fan engagement, and promoting values such as respect, resilience, and sportsmanship. Through this, the ATP Tour not only governs elite competition but also champions tennis as a force for connection and inspiration around the world.

The Role:

The Director of Sporting & Commercial Analytics will lead the creation and expansion of the ATP’s analytics capabilities, helping to shape the future of tennis through data driven decision making. They will define and implement a new, centralised operating model for Analytics, and will also serve as an AI champion, instilling a clear roadmap for organisation-wide AI adoption.

The position requires deep analytical expertise, strong leadership, a hands-on mindset and the ability to translate complex data into actionable insights and clear narratives for senior management.

Responsibilities:

• Act as the figurehead for Analytics at the ATP Tour across sporting and commercial
• Lead the execution of the wider Data & Analytics strategy alongside the Technology team
• Act as the figurehead for ATP Tour’s approach to AI, helping to drive company-wide adoption
• Establish and enhance regular reporting frameworks for senior management
• Lead and deliver high impact reactive and proactive analysis
• Use advanced analytics & ML to draw insight from large datasets & model future scenarios
• Develop and implement scalable data cleaning, transformation and analysis pipelines
• Expand data visualisation and self-service dashboard capabilities to empower stakeholders
• Serve as a key liaison with internal departments, external partners & global stakeholders
• Support budgeting and forecasting of the department, ensuring Analytics investments are linked to clear business outcomes
• Other responsibilities as required

Assessed Key Competencies:

• Innovative – Forward thinking leader that embraces AI, advanced analytics and emerging technologies to unlock new insights, improve decision making and enhance outcomes.
• Strategic – Ability to connect analytics initiatives to organisational priorities, shaping long-term data strategy while ensuring clear alignment to business value, performance goals and future growth.
• Technical Leadership – Provides credible technical direction across data architecture, advanced analytics and AI / ML, enabling effective collaboration with the Technology team.
• Communications – Skilled at translating complex data and technical concepts into clear, compelling narratives that influence senior stakeholders and drive informed decision making.
• Resilient & Adaptable – Thrives in fast-paced, evolving environments, maintaining focus and effectiveness amid ambiguity, shifting priorities and complex stakeholder demands.
• Stakeholder Management – Capable of building strong relationships across diverse, global stakeholders, acting as a trusted partner and ambassador for analytics to drive adoption and cross-functional impact.
• Change Agent – Drives organisational change by embedding data driven ways of working, overcoming resistance and ensuring analytics initiatives lead to tangible business outcomes and operational improvements.

Qualifications:

• 8-10+ years of experience in analytics or data science
• Experience managing and integrating large, complex datasets
• Strong data manipulation skills and proficient use of AI / ML tools
• Technology-agnostic and comfortable working in a modular environment
• Proven ability to build high quality dashboards and visualisation tools (e.g. Tableau, Power BI)
• Demonstrated ability to explain complex analytics to non-technical stakeholders with clarity
• Strong methodological rigor, data integrity practices, and attention to detail
• Success in building analytics capabilities in lean environments, working with autonomy
• Ability to thrive in a fast-paced, global environment with changing priorities
• Proven ability to operate as both a strategic leader and hands-on practitioner, taking end-to-end ownership of analytical problems from concept through to delivery
• Experience in sports, media & entertainment preferred; passion for tennis is advantageous