Head of Data Science and AI
Company | Global Payments |
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Location | Atlanta, GA, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | |
Experience Level | Expert or higher |
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
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No preferred qualifications provided.