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Lead, Master Data Management and Governance

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Lead, Master Data Management and Governance

S&P Global advances essential intelligence through world-leading data, benchmarks and insights.

  • Design and operate the data governance and stewardship model: roles, responsibilities, decision rights, escalation paths and operating cadence for data owners and data stewards.

  • Manage the decertification and recertification path, including how owners and consumers are notified and triggering appropriate 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.

From the employer’s posting
Lead, Master Data Management and Governance
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.
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.
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 the decertification and recertification path, including how owners and consumers are notified and triggering appropriate 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.
Manage the decertification and recertification path, including how owners and consumers are notified and triggering appropriate 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.

What you’ll bring

All qualifications

Preferred experience

  • Experience with data.world, including certification workflows, and with Anomalo for data quality monitoring.
  • Leadership & People Management: Ability to lead, mentor and inspire a technical team and to influence a community of stewards who do not report to you.
  • Knowledge of RDF, OWL, SPARQL and ontology design, and of how a knowledge graph represents business meaning and relationships.
  • Communication: Able to translate governance and ontology concepts into clear, actionable guidance for a wide, non-technical audience.
Qualification wording
Experience with data.world, including certification workflows, and with Anomalo for data quality monitoring.
Leadership & People Management: Ability to lead, mentor and inspire a technical team and to influence a community of stewards who do not report to you.
Knowledge of RDF, OWL, SPARQL and ontology design, and of how a knowledge graph represents business meaning and relationships.
Communication: Able to translate governance and ontology concepts into clear, actionable guidance for a wide, non-technical audience.
Education & alternatives
- Experience: 8+ years in data management, master data management or data governance, including experience leading or coordinating a team or cross-functional governance effort. - Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field - or equivalent professional experience. - MDM Expertise: Solid understanding of master and reference data concepts such as entity resolution, golden records, hierarchies and data model governance.

Benefits in the posting

Full benefits wording
  • Our benefits include:
  • Health & Wellness: Health care coverage designed for the mind and body.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
  • Global Hiring and Opportunity at S&P Global:
  • Recruitment Fraud Alert:
  • -----------------------------------------------------------

From the employer’s posting.

About S&P Global

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective.

In the employer’s words · Read in context

Apply at S&P Global

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Open 6 monthsWe first saw this posting 192 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 6, 2026192 days ago
Recorded sightings
69
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 192

Up longer than most. Similar jobs usually come down between day 8 and day 57.

Well past S&P Global’s usual: its jobs come down by about day 18.

From 9,518 similar postings that came down, and 136 of S&P Global’s. Coming down is not always a hire.

S&P Global is hiring

28 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring has slowed
  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

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  • Python
  • SQL
  • Alation
  • Collibra
  • Databricks
  • Power BI
Where the posting names them
- Familiarity with DAMA-DMBOK and published reference code standards (such as ISO 3166 and ISO 4217), and with 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.
- Data Quality: Experience defining data quality rules and using quality or observability tooling to monitor and report on them. - Platform Knowledge: Working knowledge of Databricks or Microsoft Fabric, familiarity with Power BI, and SQL skills for profiling and analysis. Preferred qualifications:
- Data Governance & Stewardship: Experience running or supporting stewardship and certification processes, including ownership models, policies, data classification and metadata standards. - Data Catalog: Hands-on experience with an enterprise data catalog (data.world / ServiceNow preferred; Collibra, Alation, Purview or similar considered), including business glossary and metadata management. - Data Quality: Experience defining data quality rules and using quality or observability tooling to monitor and report on them.
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:
- 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.
- Govern the enterprise ontology (RDF graph): set modeling standards, manage change and release of concepts and relationships, and ensure business definitions are authored once and referenced everywhere, rather than redefined locally. - 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, and use data quality tooling (Anomalo) and/or mechanisms to monitor coverage, detect anomalies and surface quality results and certification state in the data catalog.
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:
- Manage the decertification and recertification path, including how owners and consumers are notified and triggering appropriate 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.

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About S&P Global

People
About 44,500 in 2025, up 5% from the year before.Annual report (SEC Form 10-K)
Company
Listed as SPGI.

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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 single, well-defined direction. 
  • Govern the enterprise ontology (RDF graph): set modeling standards, manage change and release of concepts and relationships, and ensure business definitions are authored once and referenced everywhere, rather than redefined locally. 
  • 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, and use data quality tooling (Anomalo) and/or 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 the decertification and recertification path, including how owners and consumers are notified and triggering appropriate 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 the technical lead and mentor for the team, establishing best practices and operating principles; ultimately 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. 

 

What We’re Looking For:  

Key qualifications: 

  • Experience: 8+ years in data management, master data management or data governance, including experience leading or coordinating a team or cross-functional governance effort. 
  • Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field - or equivalent professional experience. 
  • MDM Expertise: Solid understanding of master and reference data concepts such as entity resolution, golden records, hierarchies and data model governance. 
  • Data Governance & Stewardship: Experience running or supporting stewardship and certification processes, including ownership models, policies, data classification and metadata standards. 
  • Data Catalog: Hands-on experience with an enterprise data catalog (data.world / ServiceNow preferred; Collibra, Alation, Purview or similar considered), including business glossary and metadata management. 
  • Data Quality: Experience defining data quality rules and using quality or observability tooling to monitor and report on them. 
  • Platform Knowledge: Working knowledge of Databricks or Microsoft Fabric, familiarity with Power BI, and SQL skills for profiling and analysis.

 

Preferred qualifications:

  • Experience with data.world, including certification workflows, and with 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 of how a knowledge graph represents business meaning and relationships. 
  • Understanding of automated or AI-assisted metadata generation and of human-in-the-loop review that agents and downstream AI solutions can rely on. 
  • Familiarity with DAMA-DMBOK and published reference code standards (such as ISO 3166 and ISO 4217), and with 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.

Soft Skills:

  • Leadership & People Management: Ability to lead, mentor and inspire a technical team and to influence a community of stewards who do not report to you. 
  • Stakeholder Management: Skilled at aligning data owners, architecture and engineering teams on definitions, timelines, scope and trade-offs. 
  • Communication: Able to translate governance and ontology concepts into clear, actionable guidance for a wide, non-technical audience. 
  • Problem Solving: Pragmatic, data-driven approach to resolving conflicting definitions, ownership gaps and data quality challenges.

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity, Discovery, Partnership


Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include: 

  • Health & Wellness: Health care coverage designed for the mind and body.

  • Flexible Downtime: Generous time off helps keep you energized for your time on.

  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.  Only electronic job submissions will be considered for employment.  

 

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.  
 
US Candidates Only: Know Your Rights: Workplace discrimination is illegal

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DTMGOP202.2 - Middle Professional Tier II (EEO Job Group)
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