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Head of Data Science and AI

Head of Data Science and AI

Global PaymentsAtlanta, Georgia, USA
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Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.

The Head of Data Science & AI at Global Payments is a transformative leadership positionresponsible for refining and scaling the company’s data science and artificial intelligence (AI)function from the ground up. This leader will architect and deliver an AI-first ecosystem thatintegrates generative AI, machine learning, and orchestration to drive business value globally.The role encompasses strategy, platform development, talent acquisition, and theoperationalization of AI solutions—balancing build, buy, and co-create approaches withtechnology partners. The Head of Data Science & AI will collaborate closely with businessleaders to incubate, scale, and systematize use cases, ensuring that data-driven innovation isembedded across the organization.

Key Responsibilities :

  • Build & Lead the Data Science Organization

Refine and scale a world-class data science and AI function, including recruiting,mentoring, and developing a multidisciplinary team of data scientists, MLengineers, platform engineers, and product managers while fostering a culture ofinnovation and experimentation.

Define the vision, strategy, and roadmap for data science and AI initiativesaligned with Global Payments’ business objectives.

  • Platform Strategy & Delivery
  • Architect and oversee the development of holistic AI platforms / solutions thatleverage data science, advanced analytics, machine learning, generative AI, andautomation.

    Evaluate and implement leading data science and AI platforms to acceleratemodel development, deployment, and monitoring.

    Build robust data pipelines, feature engineering workflows, and modelmanagement infrastructure to support scalable, production-grade AI solutions

  • GenAI Strategy : Build, Buy, Co-Create
  • 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 productsand creating new AI-powered offerings.

  • Business Partnership & Use Case Incubation
  • Establish an operating model to engage business units, incubate high-impact AIuse cases, and operationalize solutions at scale.

    Define and track success metrics for AI initiatives, ensuring measurable businessoutcomes and ROI.

    Champion data-driven decision-making and embed analytics into businessprocesses.

  • Governance, Security & Compliance
  • Partner with Data and AI Governance teams to ensure all data science and AIinitiatives adhere to industry standards for data privacy, security, and regulatorycompliance.

  • Thought Leadership & External Engagement
  • Represent Global Payments in external forums, building relationships withtechnology partners, research institutions, and the broader AI community. ○ Stay abreast of emerging trends in AI, ML, and GenAI, and translate them intoactionable strategies for the business.

    Required Experience & Skills :

  • 10+ years’ leadership in data science, AI / ML, and analytics within fintech, payments, orrelated 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 withdata 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 rapidexecution.
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    Head Of Data Science • Atlanta, Georgia, USA