Head Of Data Governance & Enablement Platforms

August 30, 2026

Remote

Head

London, United Kingdom

Important before applying

This job has conditions that may affect your decision to apply

English is requiredDegree required

Description

Global Payments seeks a Head of Data Governance & Enablement Platforms to lead enterprise data governance platform strategy, engineering, and operations. The role involves managing metadata, master data, data quality, and governance automation to create trusted data foundations for analytics and AI. The candidate will build and lead a high-performing team.

Responsibilities

Own the enterprise strategy, roadmap, investment planning, and adoption of Data Governance & Enablement Platforms
Lead the vision, implementation, modernization, and operation of enterprise Data Catalog/Business Glossary, Data Dictionary, Metadata Management, Data Lineage, Master Data Management (MDM), Reference Data Management (RDM), Data Quality, and Data Profiling platforms
Establish governance enablement capabilities as enterprise platform products with clear business outcomes, service offerings, adoption targets, and reliability objectives
Develop platform roadmaps aligned to enterprise Data, Analytics, and AI strategies
Drive platform standardization, simplification, scalability, and automation across the enterprise
Establish platform operating models, service management processes, SLAs, SLOs, and support frameworks
Lead platform and technology decisions, including build, buy, and partner evaluations with clear business and technical rationale
Manage platform budgets, vendor relationships, licensing strategies, and technology investments
Own enterprise Metadata Management, Data Catalog, Business Glossary, Data Dictionary, and Data Lineage capabilities
Establish metadata driven processes that improve discovery, understanding, trust, governance, and reuse of enterprise data assets
Partner with Data Trust & Risk to define enterprise metadata, glossary, classification, and semantic standards, ensuring they are consistently implemented and enforced through governance enablement platforms across the enterprise
Deliver self-service experiences that enable business and technical users to efficiently discover and consume trusted data products
Establish lineage capabilities that provide end to end visibility across source systems, data pipelines, data products, and analytics assets
Define and execute the enterprise Master Data Management (MDM) and Reference Data Management (RDM) platform strategy, roadmap, and operating model
Partner with business stakeholders, Data Trust & Risk, and data domain owners to establish shared MDM and RDM services supporting customers, merchants, products, partners, suppliers, and other critical business entities
Enable the standardization, consistency, governance, and quality of master and reference data across the enterprise
Establish and integrate MDM capabilities that support operational systems, data products, analytics, reporting, AI, and regulatory use cases
Partner with business domains to define authoritative data sources, golden record strategies, survivorship rules, and data lifecycle management processes
Implement scalable MDM capabilities, including entity resolution, hierarchy management, relationship management, and reference data administration
Own enterprise Data Quality and Data Profiling platforms and services
Establish self-service data quality capabilities, monitoring frameworks, observability solutions, and quality controls across critical enterprise data assets
Enable proactive data profiling, anomaly detection, root cause analysis, and issue management capabilities
Partner with Data Engineering and Data Product teams to embed quality controls throughout the data lifecycle
Drive continuous improvement initiatives that increase trust and confidence in enterprise data
Partner closely with the Head of Data Trust & Risk to operationalize governance policies, standards, and controls through technology platforms
Implement governance workflows supporting data stewardship, certification, issue management, access, controls monitoring, and reporting
Enable data contracts, metadata driven automation across the enterprise data ecosystem
Establish automated enforcement mechanisms for metadata standards, data classification, retention policies, quality controls, and governance requirements
Support regulatory, audit, privacy, security, and risk management requirements through platform capabilities and automation
Partner with the Head of Data Strategy & Architecture and other Heads of Data Platform to align governance enablement platforms with enterprise architecture standards and target state designs
Partner with the Head of Data Engineering to ensure metadata, lineage, quality, and governance capabilities are integrated into enterprise data pipelines and products
Deliver APIs, reusable services, and integration patterns that enable governance capabilities to be consumed across the enterprise
Support data product adoption through trusted metadata, quality transparency, and discoverability
Drive platform capabilities that improve data transparency, explainability, and trust
Build, lead, and develop a high performing team of platform engineers, product managers, and governance technology specialists
Foster a culture of innovation, accountability, customer focus, operational excellence, and continuous improvement
Drive enterprise adoption through enablement programs, communications, training, and stakeholder engagement
Establish strong partnerships with Data Trust & Risk, Data Strategy & Architecture, Engineering, AI, Security, Risk, Compliance, and business leadership teams
Serve as a trusted advisor to senior leaders on governance enablement technologies, data trust, metadata strategy, master data management, and data quality modernization
Communicate platform strategy, roadmaps, priorities, and outcomes to executive stakeholders and governance forums
Champion the role of governance enablement platforms as foundational capabilities that increase trust, speed, reuse, and business value across the enterprise

Requirements

12+ years of experience in Data Management, Data Governance Technologies, Data Platforms, Data Engineering, or related technology leadership roles
5+ years leading enterprise-scale implementations of Data Governance, Metadata Management, MDM, Data Quality, or Data Platform initiatives
Proven experience implementing and operating enterprise Data Catalog, Metadata Management, Data Lineage, MDM, RDM, and Data Quality platforms
Deep expertise with leading governance and metadata technologies such as Collibra, Alation, Atlan, Informatica, Reltio, or equivalent solutions
Extensive experience designing and implementing enterprise Master Data Management and reference data solutions
Strong expertise in metadata management, business glossaries, semantic models, data lineage, classification, and cataloging capabilities
Demonstrated success implementing enterprise data quality frameworks, observability capabilities, profiling solutions, and quality management processes
Experience implementing governance workflow automation, issue management, findings management, or stewardship, in support of enterprise governance programs
Experience operating governance and enablement capabilities in cloud based data environments
Strong understanding of modern data platforms, lakehouses, data warehouses, analytics ecosystems, and data product architectures
Working knowledge of regulatory, compliance, privacy, and security requirements within highly regulated environments
Proven ability to partner with governance organizations to operationalize policy through technology and automation
Demonstrated experience leading platform engineering, product management, or shared services organizations
Strong product mindset with experience managing technology platforms as products serving internal customers
Exceptional communication, executive presentation, and stakeholder management skills
Demonstrated ability to influence outcomes across complex, matrixed organizations
Proven experience building, developing, and leading high performing technology teams
Strong strategic thinking, analytical, and problem-solving capabilities
Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field required

Conditions

Global and inclusive team environment
Equal opportunity employer

CollibraAlationInformaticafinance/paymentsPaymentsFintechCloud Architecture

Similar jobs

Picked by AI from the meaning of the description, not keywords

This device does not meet the site requirements

What may not work

Head Of Data Governance & Enablement Platforms

Job summary

Score

Description

Responsibilities

Requirements

Conditions

Similar jobs

Job summary

Score

Similar jobs

Head Of Data Governance & Enablement Platforms

Job summaryAnalysis and summary of the description [data-chart=chart-_R_b5s5eav5ubsqiuialb_] { --color-score: var(--warning); } .dark [data-chart=chart-_R_b5s5eav5ubsqiuialb_] { --color-score: var(--warning); } 50ScoreAverage

Job summary

Score

Description

Responsibilities

Requirements

Conditions

Similar jobs

Job summaryAnalysis and summary of the description [data-chart=chart-_R_b5s5eav5ubsqiuialb_] { --color-score: var(--warning); } .dark [data-chart=chart-_R_b5s5eav5ubsqiuialb_] { --color-score: var(--warning); } 50ScoreAverage

Job summary

Score

Similar jobs