PGS Data Governance Lead

The PGS Data Governance Lead reports directly to the VP, PGS Data, Analytics & AI Transformation and serves as a member of the team’s leadership team. This global senior leadership role is accountable for defining and executing PGS’s data governance strategy, ensuring critical data is trusted, controlled, and fit for purpose across master data, planning parameters, transactional data, and structured and unstructured data assets. 

The leader owns the end-to-end governance operating model, including policies, standards, stewardship expectations, quality rules, observability, anomaly actioning, and automated remediation across human and AI-enabled workflows. The role also drives metadata, lineage, and Collibra documentation to strengthen transparency, discoverability, and trust in enterprise data. 

Accountable for data trust, compliance, security, and risk-based prioritization, this role enables secure, governed access to data for AI, analytics, and enterprise large language model initiatives. By ensuring trusted, governed data is available, accurate, and secure, the leader positions PGS to scale AI-driven decision-making with confidence. 

Data Governance Strategy & Operating Model 

• Define and execute the PGS data governance strategy, roadmap, and value realization plan across master data, planning parameters, transactional data, and structured and unstructured data assets. 

• Own the governance operating model, including policies, standards, stewardship expectations, quality rules, observability, anomaly actioning, and automated remediation across human and AI-enabled workflows. 

Global Stewardship & Data Ownership 

• Establish, lead, and mature a global network of embedded data stewards and data owners, ensuring clear ownership, consistent accountability, and strong execution across governed data domains. 

• Coach stewards and owners to improve data accuracy, embed governance into day-to-day operations, and connect local stewardship activity to enterprise governance priorities. 

Governed Data Domain Accountability 

• Own governance accountability across core master data and Single-Entry domains, including Material, Plant, Vendor, Serialization, Location, Source & Destination, and Resource data. 

• Prioritize expansion into additional critical PGS datasets, including Quality, External Supply, and Procurement, based on business value, risk, readiness, and enterprise data priorities. 

Project Representation & Portfolio Enablement 

• Ensure governed data domains are appropriately represented in projects that rely on, create, modify, or consume critical data, bringing steward and owner expertise into project design, decision-making, and delivery. 

• Balance enterprise standards with divisional and functional needs, ensuring governance support is prioritized and resourced across the active portfolio. 

Data Quality, Automation & Workflow Innovation 

• Partner with Data Engineering, data stewards, and data owners to define data quality rules, detection algorithms, workflow requirements, and automation opportunities that improve accuracy and reduce manual effort at scale. 

• Lead testing, validation, formal acceptance, and continuous improvement of data quality outputs and outlier workflow capabilities to ensure issues are consistently routed, tracked, resolved, and prevented. 

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