Enterprise Data Architect

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. 

Global Payments seeking a visionary Enterprise Data Architect to lead the strategic direction and architecture of our enterprise data landscape. This role sits at the heart of Global Payments’ transformation agenda, ensuring that our data architecture not only enables our current operations but unlocks future growth, innovation, and competitive advantage.
In this role, you'll be an integral member of the enterprise architecture team to define and deliver a scalable, domain-aligned, and product-centric data architecture. You will champion a federated approach to data governance, champion data product ownership across domains, and serve as a key driver of Global Payments’ evolution into a data-driven enterprise.
The role will involve collaborating with Business, Technology, Engineering and internal and external IT stakeholders at all levels to ensure the enterprise data strategy and associated implementation is adding value to the business.

Responsibilities:

• Set the strategy for data architecture to support the Business and IT strategies and maintaining the data architecture principles
• Develop relationships within the lines of business becoming a trusted partner demonstrating the value of data architecture being part of the development cycle including considerations for use in analytics and AI downstream 
• Define target, transition data architectures and roadmap to realise our future state data architecture
• Create the data architecture documents and templates for change initiatives and supporting solution architects to complete
• Build a framework of principles to ensure data integrity across the business
• Lead data architecture forums and provide subject matter expert input to architecture decisions 
• Document the detailed holistic physical data architecture for both current and target state
• Manage holistic roadmap of architecture change initiatives across Global Payments, coordinating requirements across different initiatives 
• Provide technical expertise for change initiatives, working with engineering teams and business product owners
• Define frameworks for decentralized data product ownership across business domains
• Align the data architecture strategy to AI/ML enablement—model observability, feature stores, and ethical AI guardrails
• Be a key stakeholder and advisor in all strategic data initiatives and ensure alignment to the enterprise wide data strategy 
• Build and maintain appropriate Enterprise Architecture artifacts
• Provide technical oversight to Engineers in creating business driven solutions adhering to the enterprise architecture and data governance standards
• Be an advocate of data security principles and ensure appropriate security and compliance practices are embedded in any data strategy
• Develop key performance measures for data integration and quality
• Evaluate and recommend enterprise data technologies, platforms, and solutions to enhance our data capabilities
• Support digital transformation efforts by identifying and promoting emerging technologies that drive business value
• Support M&A technology integration efforts by assessing acquired data architectures and recommending alignment strategies

Does this sound like you:

• Experience of creating and implementing data strategies that align with business objectives
• Extensive experience in architecting and implementing enterprise data warehouse, Master data Management, data integration, BI & analytics, content management and data management platforms
• A comprehensive understanding of data warehousing and data transformation (extract, transform and load) processes and the supporting technologies such as Google BigQuery, Snowflake, Iceberg, Data Lake, other analytics products
• Data management and reporting technologies, predictive analytics, data visualization and uns