Digital Marketing Technology & AI Operations Lead

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.

Role Overview:

As the Digital Marketing Technology & AI Operations Lead, you will be a key driver in shaping our marketing technology stack and its AI-powered future. This is a dual-focused role that requires both a strategic mindset to identify and deploy high-impact AI solutions, as well as a hands-on technical skillset to build, maintain, and optimize our core digital marketing platforms. You will collaborate with business leaders and developers to transform marketing operations, ensuring our web assets are robust, and our AI initiatives are effectively deployed, governed, and measured for success.

AI & Strategic Leadership

• Collaborate with marketing leaders to identify, prioritize, and develop business cases for AI use cases across the customer lifecycle (e.g., personalization, predictive analytics, generative content).

• Partner with central IT to evaluate, pilot, and recommend AI platforms and tools, leading vendor evaluations and technical solution architecture decisions.

• Drive the full deployment lifecycle of AI initiatives, from model integration to campaign activation and performance optimization.

• Promote AI adoption across the marketing organization through training, best practices, and playbooks.

• Ensure all AI deployments comply with internal governance, ethical standards, and regulatory requirements.

• Establish KPIs and measurements frameworks for AI initiatives to quantify business impact

• Partner with data science teams to ensure data pipelines are properly structured and accessible for AI model training and deployment

• Lead cross functional groups to align AI and marketing tech initiatives with enterprise wide digital transformation strategies

Web Development & DevOps

• Develop and maintain front-end and back-end web pages and components using HTML, CSS (SCSS), JavaScript, and TypeScript.

• Design and implement Continuous Integration/Continuous Deployment (CI/CD) pipelines to automate testing and deployment processes for marketing assets.

• Manage shared code repositories on platforms like GitHub and Azure.

• Build and maintain key marketing-focused JavaScript libraries for tracking, form handling, and A/B testing (e.g., UTM tracking, form handler integrations, VWO).

• Collaborate with the team to address and mitigate cybersecurity issues on web properties.

Operations & Maintenance

• Ensure the smooth operation, continuous improvement, and robust performance of digital marketing platforms and web assets.

• Set up monitoring and alerting (e.g., Splunk Synthetic Monitoring) to proactively identify issues.

• Perform regular website maintenance, including content updates, bug fixes, and performance optimization.

• Assist with technical projects such as SSL certificate renewals and DNS configurations.

• Use data analysis skills to investigate website traffic trends and campaign performance, providing insights to the team.

• Champion data privacy and security practices across all AI platforms and programs

Qualifications:

Minimum Qualifications

• Bachelor's in a related field, or equivalent practical experience.

• 6-10 years of experience in marketing technology, digital transformation, web development, or a related field, preferably in a high-velocity B2B or fintech environment.

• Proven track record of leading AI-enabled marketing programs from ideation to scale.

• Demonstrated experience in front-end development (HTML, CSS, JavaScript) and a solid understanding of back-end technologies (e.g., Node.js, Python).

• Hands-on experience with DevOps principles, including CI/CD pipeline implementation and cloud infrastructure (e.g., Microsoft Azure, Amazon AWS).

• Strong understanding of AI/ML fundamentals and their application in marketing.

• Excellent stakeholder management, communication, and project/change management skills.

Preferred Qualifications

• Experience with generative AI, NLP, and MLOps pipelines.

• Knowledge of AI governance, ethical AI frameworks, and compliance in regulated industries.

• Prior experience scaling marketing technology and AI across global organizations.

• Experience with Customer Data Platforms (CDPs) and Customer Relationship Management (CRM) systems, with a strong understanding of data structures and the role of system data in marketing activation and analytics.

• Experience operationalizing responsible AI practices, including bias detection and explainability in marketing contexts.

Why You'll Thrive Here:

This is a unique opportunity to lead both the strategic transformation and the technical execution of our marketing technology. You'll have the autonomy to shape our AI roadmap while also getting your hands dirty building and optimizing the platforms that power our digital presence. If you are passionate about the convergence of data science, marketing, and technology, this is where you can make a meaningful, tangible impact on a global scale.

Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact jobs@globalpay.com.