SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine. Applying for a job at PUMA is easy. Simply click APPLY ONLINE and follow the steps to upload your application.

• Develop and execute the strategic roadmap for AI/ML within Puma, aligning with broader business objectives and innovation goals
• Lead and mentor a high-performing team of AI/ML engineers, data scientists, and domain experts, driving cross-functional AI/ML initiatives that deliver business value in key areas such as ERP, DTC, product innovation, supply chain optimization, and consumer engagement
• Collaborate closely with the leadership team to assess emerging AI/ML trends and technologies and identify opportunities for innovation and competitive advantage
• Oversee the design, development, and deployment of advanced AI/ML models and algorithms across Puma’s business functions
• Drive the creation of cutting-edge products and services that leverage AI/ML technologies and AI-powered design tools
• Build strong working relationships with the Data Engineering and IT teams to ensure the availability and scalability of data infrastructure necessary for AI/ML solutions
• Act as the key AI/ML liaison to the executive leadership team, providing insights and recommendations on how AI/ML can support business goals
• Implement best practices in data quality, security, privacy, and ethics for AI/ML applications, ensuring compliance with industry regulations.
• Ensure proper model monitoring and validation processes are in place to continuously improve the performance and relevance of AI/ML models over time.
• Cultivate external partnerships with technology vendors, research institutions, and AI startups to stay ahead of the curve in emerging technologies.
• Define and track key performance indicators (KPIs) to measure the impact and effectiveness of AI/ML projects on business outcomes.
• Drive a culture of accountability, ensuring that AI/ML solutions deliver measurable value and align with business priorities