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S&P Global

Delivers credit ratings, market data, indices

Lead Master Data Management and Governance

Data ManagementPosted on Nov 11
Full-timeGurugram, Haryana, IndiaNo salary listedHybrid

About the Job

Requirements

  • At least 8 years of experience in data management, master data management, or data governance, including experience leading or coordinating a team or cross-functional governance effort.
  • A bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience.
  • A solid understanding of master and reference data concepts, including entity resolution, golden records, hierarchies, and data model governance.
  • Experience running or supporting stewardship and certification processes, including ownership models, policies, data classification, and metadata standards.
  • Hands-on experience with an enterprise data catalog, including business glossary and metadata management; data.world or ServiceNow experience is preferred, while Collibra, Alation, Purview, or similar experience is considered.
  • Experience defining data quality rules and using quality or observability tooling to monitor and report on them.
  • Working knowledge of Databricks or Microsoft Fabric, familiarity with Power BI, and SQL skills for profiling and analysis.
  • Ability to lead, mentor, and inspire a technical team and influence a stewardship community whose members do not report to the role.
  • Skill in aligning data owners, architecture, and engineering teams on definitions, timelines, scope, and trade-offs.
  • Ability to translate governance and ontology concepts into clear, actionable guidance for a wide, non-technical audience.
  • A pragmatic, data-driven approach to resolving conflicting definitions, ownership gaps, and data quality challenges.

Responsibilities

  • Define and lead the Internal Data Fabric master data management strategy, roadmap, and execution, including the business entities, reference data, hierarchies, and systems of record to be mastered.
  • Design and operate the data governance and stewardship model, including roles, responsibilities, decision rights, escalation paths, and operating cadence for data owners and stewards.
  • Drive data certification through the enterprise data catalog, working with stewards and owners to ensure data, metrics, and reports are defined, described, and signed off before certification for consumption.
  • Integrate certification with metadata generation so generated descriptions, classifications, and ownership are proposed automatically, reviewed and approved by stewards, and published to the data catalog with an audit trail.
  • Partner with internal teams on implementation of the enterprise data catalog and lead its integration with Unity Catalog and Fabric IQ sub-catalogs, maintaining consistent technical, business, and quality metadata and a well-defined metadata flow.
  • Govern the enterprise ontology represented as an RDF graph by setting modeling standards, managing concept and relationship changes and releases, and ensuring business definitions are authored once and reused rather than locally redefined.
  • Define and maintain entity-resolution and golden-record rules for mastered entities, working with data engineers to implement them in the gold tier of the Databricks medallion architecture.
  • Define data quality rules, thresholds, and certification criteria; use data quality tooling or other mechanisms to monitor coverage, detect anomalies, and surface quality results and certification state in the data catalog.
  • Establish and enforce data standards for naming, descriptions, data types, reference codes, and classification, aligning internal dictionaries with Enterprise Data Architecture standards and the EDA Style Guide.
  • Manage decertification and recertification, including notifying owners and consumers and triggering workflows when certified data degrades.
  • Define and report governance KPIs and Power BI dashboards covering certification coverage, steward activity, metadata completeness, data quality trends, and issue resolution.
  • Partner with Enterprise Data Architecture, Knowledge Engineering, Data Engineering, Security, and business data owners to embed governance into onboarding, data product design, and delivery.
  • Serve as technical lead and mentor for the team, establish best practices and operating principles, and remain accountable for the quality, integrity, and trustworthiness of mastered and certified data.
  • Lead and develop a team of data governance and master data specialists, and coach the wider steward community.

Desired Qualifications

  • Experience with data.world certification workflows and Anomalo for data quality monitoring.
  • Working knowledge of Unity Catalog and Fabric IQ and how they feed an enterprise catalog.
  • Knowledge of RDF, OWL, SPARQL, and ontology design, and understanding how a knowledge graph represents business meaning and relationships.
  • Understanding of automated or AI-assisted metadata generation and human-in-the-loop review that downstream agents and AI solutions can rely on.
  • Familiarity with DAMA-DMBOK, published reference code standards such as ISO 3166 and ISO 4217, and enterprise data standards review processes.
  • Experience with the medallion architecture and Python for profiling and automation.
  • Experience leading a team of governance or master data specialists.

About the Company

S&P Global

Delivers credit ratings, market data, indices

S&P Global provides financial information and analytics for investors, corporations, and governments, including credit ratings, market data, and indices. It compiles large financial data, conducts research, and offers analytics, ratings, and benchmarks accessed via subscriptions, licenses, or transaction-based services. The company differentiates itself with an integrated suite that covers ratings, data, analytics, indices, and ESG solutions across global markets, backed by well-known brands. Its goal is to help clients make informed decisions, manage risk, and drive growth while prioritizing corporate responsibility.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1917

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