Head of Enterprise Data Engineering

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 1300 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

Global Payments is seeking a Head of Enterprise Data Engineering to define and execute the enterprise data engineering strategy platforms and operating model for AI-ready data at global scale. This executive will lead the architecture delivery and operations of modern cloud data platforms and products establish trusted data domains and embed data governance and data quality into automated pipelines. The role partners closely with engineering product risk and line-of-business leaders to accelerate data-driven outcomes reduce time-to-insight and enable AI/ML across the enterprise.

The ideal leader is equal parts strategist and hands-on technologist capable of setting vision shaping enterprise data architecture and diving deep with senior engineers to whiteboard designs optimize pipelines and resolve complex data challenges. Success looks like a measurable increase in trusted data product adoption accelerated delivery through automation reduced total cost of ownership and demonstrable business value from AI-ready data.

Key Responsibilities

Define and own the enterprise data engineering strategy and reference architecture for AI-ready data including cloud platform data products and automation-first delivery model. Develop and communicate the enterprise data strategy and roadmap ensuring alignment with business transformation regulatory needs and future-proofing.

Lead architectural decisions for lakehouse patterns streaming CDC and event-driven integration; balance reuse performance cost efficiency and time-to-market.

Architect implement and operate hybrid and cloud-native data platforms with heavy automation.

Establish trusted domains focusing on security governance and reuse across business the design and delivery of reusable trusted data products with clear SLAs documentation versioning and APIs; enforce data contracts between producers and consumers.

Enable secure governed data sharing and monetization where appropriate.

Provide platform services and reusable capabilities for data science and AI: feature store model-ready curated layers governed sandboxes MLOps integration and model/data lineage.

Embed data governance within pipelines: lineage capture data classification role-based and attribute-based access fine-grained controls and consent management. Implement DQ-by-design: thresholding anomaly detection reconciliation and data SLAs enforced in CI/CD and runtime with automated quarantine/retry/escalation.

Manage a multi-million-dollar budget by optimizing build-vs-buy decisions licensing cloud spend and vendor relationships. Scale teams and partners globally while building strong relationships with executives technical teams vendors and business partners to understand needs influence strategy and promote best practices.

Oversee large-scale data migration modernization and platform implementation projects balancing innovation cost-effectiveness and risk management.

Scale mentor and inspire a diverse high-performing data engineering and architecture team; develop adaptive hiring and resourcing strategies reflecting organizational growth and transformation.

Ensure compliance with all risk regulatory and audit standards and maintain rigorous internal controls.

RequiredExperience

15 years in engineering and/or data and analytics including 8 years leading large-scale data engineering and platform teams in complex regulated environments. Deep expertise in data architecture and engineering: data modeling (OLTP/OLAP) big data and query engines lakehouse data warehousing MDM data integration CDC and large-scale batch/stream processing.

Experience delivering data products at scale with embedded governance metadata/lineage and continuous DQ; strong background in data contracts and data observability.

Real-time data streaming expertise (e.g. Kafka Pub/Sub Kinesis) event-driven architectures and change data capture success designing and operating enterprise cloud-native data platforms on at least one hyperscaler

Practical experience enabling AI/ML: feature stores model-ready datasets MLOps integration and privacy-preserving patterns; comfortable partnering with data scientists and ML engineers.

Executive presence with the ability to translate complex architectures into business value present to senior leadership/board-level stakeholders and lead through influence.

Bachelors or Masters degree in Computer Science Engineering or related discipline (STEM preferred).

5 years of people leadership including hiring performance management coaching and org design.

PreferredExperience

Experience in payments fintech or financial services with knowledge of domains such as merchant onboarding transaction processing settlement chargebacks fraud/risk and regulatory reporting.

Familiarity with data monetization secure data sharing and embedded analytics patterns for partners/merchants.

Core Competencies

Ability to define an enterprise-wide AI-first data vision and convert it into an executable value-centric roadmap.

Comfort whiteboarding and debating designs with senior engineers; fluency across storage compute networking security and cost optimization.

Treats data as a product with clear consumers SLAs quality metrics and lifecycle management.

Drives measurable outcomes with clear OKRs; reduces time-to-insight; improves reliability and lowers unit costs.

Attracts and develops top talent; creates a culture of craftsmanship accountability and continuous learning.

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Ready to Elevate Your Career

Apply now and become part of a global leader in commerce solutions!

This job description may not be inclusive of all assigned duties responsibilities or aspects of the job described and may be amended at any time at the discretion of the Global Payments/TSYS.

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. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resources Department.

Benefits: Global Payments offers a comprehensive benefits package to all of our team members including medical dental and vision care EAP programs paid time off recognition programs retirement and investment options charitable gift matching programs and worldwide days of service. To learn more review our Benefits page at: position listed in this requisition is ineligible for the referral bonus award program

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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 .