Head of Data Science and AI

Head of Data Science and AI

Requirements

• 10+ years’ leadership in data science, AI/ML, and analytics within fintech, payments, or related sectors.
• Proven success building and scaling global data science teams and platforms.
• Deep expertise in machine learning, generative AI, feature engineering, model design, MLOps, and cloud-based AI infrastructure.
• Skilled at integrating data science applications into software products and working with data at scale and velocity.
• Strong ability to translate complex technical concepts into business value.
• Exceptional stakeholder management, communication, and influencing skills.
• Track record of scaling high-impact AI use cases through buy/build strategies.
• Effective player-coach: hands-on problem solver and team facilitator.
• Experienced in attracting, developing, and retaining top talent.
• Dynamic, forward-thinking leader with a bias for action, experimentation, and rapid execution.

Responsibilities

• Refine and scale a world-class data science and AI function, including recruiting, mentoring, and developing a multidisciplinary team of data scientists, ML engineers, platform engineers, and product managers while fostering a culture of innovation and experimentation.
• Define the vision, strategy, and roadmap for data science and AI initiatives aligned with Global Payments’ business objectives.
• Architect and oversee the development of holistic AI platforms/solutions that leverage data science, advanced analytics, machine learning, generative AI, and automation.
• Evaluate and implement leading data science and AI platforms to accelerate model development, deployment, and monitoring.
• Build robust data pipelines, feature engineering workflows, and model management infrastructure to support scalable, production-grade AI solutions.
• Develop and execute a hybrid GenAI strategy, leveraging internal development, third-party solutions, and co-creation with strategic partners.
• Drive the adoption of GenAI technologies, integrating them into existing products and creating new AI-powered offerings.
• Establish an operating model to engage business units, incubate high-impact AI use cases, and operationalize solutions at scale.
• Define and track success metrics for AI initiatives, ensuring measurable business outcomes and ROI.
• Champion data-driven decision-making and embed analytics into business processes.
• Partner with Data and AI Governance teams to ensure all data science and AI initiatives adhere to industry standards for data privacy, security, and regulatory compliance.
• Represent Global Payments in external forums, building relationships with technology partners, research institutions, and the broader AI community.
• Stay abreast of emerging trends in AI, ML, and GenAI, and translate them into actionable strategies for the business.

Preferred Qualifications

No preferred qualifications provided.