About the Role:
Grade Level (for internal use):
12 The Role:
Lead, Master Data Management and Governance
The Team:
S&P Global advances essential intelligence through world-leading data, benchmarks and insights. As Lead of Master Data Management and Governance within our Internal Data Fabric (Enterprise360) team, you'll define how the operational data that runs our business is mastered, governed and certified — so that people and AI agents across the business are working from a foundation of trusted data.
In this role you will define, operate and continuously improve how our most important enterprise entities, reference data and business definitions are mastered, described, certified and trusted across the organization. You will own the governance model that sits on top of our Databricks, Microsoft Fabric and Power BI estate, while leveraging a sophisticated ecosystem of supporting applications – an enterprise data catalog (data.world, with Unity Catalog and Fabric IQ as sub-catalogs), a knowledge-graph backed ontology (RDF) for semantic and reference data standardization, and automated data quality monitoring (Anomalo). You will lead the stewardship community that certifies data within the data catalog, and connect certification to our automated metadata generation path so that definitions are written once, reviewed by the data owner, and reused everywhere.
The Impact:
The Lead, Master Data Management and Governance will be instrumental in making our data trustworthy, discoverable and ready for AI. By establishing a single, certified meaning for key entities and metrics this role will reduce conflicting definitions, remove duplicated effort across teams, and ensure analytics, Power BI reporting and agentic AI solutions are built only on data that has been defined, owned and quality-checked. The work has downstream impact on our customers and colleagues alike, enabling faster, more confident decisions and a stronger foundation for enterprise-grade AI.
What’s in it for you:
Own a high-impact, enterprise-wide capability: Take accountability for master data and certification across the Internal Data Fabric, a role with visibility across technology leadership, data owners and business stakeholders.
Work at the intersection of governance and AI: Gain hands-on experience with Databricks, Microsoft Fabric, Power BI, knowledge graphs and automated metadata generation in a live enterprise environment.
Shape how meaning is managed: Directly influence how business definitions, ontology and certification are designed so that people and AI agents can find, understand and trust our data.
Strong learning and growth opportunities: Collaborate closely with Enterprise Data Architecture, Data Governance and engineering colleagues, and grow as a leader of both a stewardship community and a specialist team.
Responsibilities:
Define and lead the Internal Data Fabric master data management strategy, roadmap, and execution- including the critical business entities, reference data and hierarchies to be mastered and the systems of record for each.
Design and operate the data governance and stewardship model: roles, responsibilities, decision rights, escalation paths and operating cadence for data owners and data stewards.
Drive data certification through the enterprise data catalog (data.world), working with stewards and owners to ensure data, metrics and reports are defined, described and signed off as expected before they are certified for consumption.
Integrate certification with the metadata generation path, so that generated descriptions, classifications and ownership are proposed automatically, reviewed and approved by stewards, and published back to the data catalog with a clear audit trail.
Partner with internal teams on the enterprise data catalog implementation (data.world) and lead its integration with the Unity Catalog and Fabric IQ sub-catalogs, keeping technical, business and quality metadata consistent and ensuring metadata flows in a…