Senior Data Governance Analyst

About MediaRadar

MediaRadar, equips marketing, sales and analytics leaders with the intelligence they need to stay ahead. Our platform delivers always-on, AI-enabled Creative, Competitive, Commercial and Market Intelligence—spanning ad strategy, media spend, creative assets and brand messaging across 30+ media channels and five million brands.

With deep insights into more than 35 million ad and campaign assets and $280 billion in media spend, MediaRadar provides a single, interoperable source of truth that plugs seamlessly into enterprise analytics and AI systems. The result: faster, cleaner and more actionable intelligence that drives competitive advantage. 

About the Role

As a Senior Data Governance Leader, you will drive the operational transformation of our global governance function, turning multi-industry legacy data into a unified, production-ready foundation. You will partner with Data Operations, ML teams, and international hubs to establish core quality baselines and architect scalable taxonomy and MDM structures. This is a high-impact, execution-focused role for a builder who excels at translating governance policy into testable, working artifacts—ensuring our standards remain consistent, conflict-free, and actively enforced at scale.

About MediaRadarMediaRadar, equips marketing, sales and analytics leaders with the intelligence they need to stay ahead. Our platform delivers always-on, AI-enabled Creative, Competitive, Commercial and Market Intelligence—spanning ad strategy, media s...

Responsibilities

• Author, maintain, and version enterprise taxonomies, business term definitions, and master data hierarchies to consolidate legacy structures across four distinct organizations and two industries into a single unified taxonomy
• Translate governance strategies into structured, testable data quality rules—assigning consistent rule IDs across taxonomies to ensure governance actively runs in production systems..
• Run routine rule-library analysis to detect duplicates, conflicts, and coverage gaps, and prepare findings for governance review.
• Maintain metadata, documentation, and change history so definitions and rules remain traceable and auditable.
• Support intake and triage of new rule and definition requests from Data Operations and business stakeholders.
• Prepare reference data and golden-record candidates for governance certification, flagging anomalies and exceptions.
• Produce clear documentation and quick-reference guides that help stewards and analysts apply standards independently.
• Assist in preparing governance reporting, dashboards, and stakeholder updates.

Success Measures

Success in this role will be measured by:

• Rule & Taxonomy Integrity – Low and declining rates of duplicate, conflicting, or orphaned rules and definitions.
• Coverage – Measurable progress against taxonomy and reference data coverage targets across tiers.
• Turnaround – Timely, accurate processing of rule and definition requests within agreed SLAs.
• Traceability – Complete, auditable change history and documentation for governed artifacts.
• Usability – Stewards and analysts can apply standards from documentation without repeated escalation.
• Operationalization – Authored rules and definitions are actively used in classification and quality workflows.

Key Qualifications and Role Requirements

• 5+ years of hands-on experience in Data Governance, Master Data Management (MDM), Data Quality, or Data Architecture
• Proven experience building and operationalizing data governance foundations, taxonomies, and MDM frameworks from the ground up (not just maintaining existing frameworks).
• Hands-on experience maintaining taxonomies, controlled vocabularies, business glossaries, or rule libraries.
• Strong attention to detail and comfort working with structured data, spreadsheets, and governance tooling.
• Ability to translate governance decisions into precise, consistent, testable rules.
• Comfort with ambiguity and evolving standards in a maturing governance environment.
• Familiarity with data quality dimensions (accuracy, completeness, consistency, timeliness).
• Exposure to DAMA / DMBOK concepts a plus.
• Clear written and verbal communication skills.

About MediaRadar

MediaRadar, equips marketing, sales and analytics leaders with the intelligence they need to stay ahead. Our platform delivers always-on, AI-enabled Creative, Competitive, Commercial and Market Intelligence—spanning ad strategy, media spend, creative assets and brand messaging across 30+ media channels and five million brands.

With deep insights into more than 35 million ad and campaign assets and $280 billion in media spend, MediaRadar provides a single, interoperable source of truth that plugs seamlessly into enterprise analytics and AI systems. The result: faster, cleaner and more actionable intelligence that drives competitive advantage. 

About the Role

As a Senior Data Governance Leader, you will drive the operational transformation of our global governance function, turning multi-industry legacy data into a unified, production-ready foundation. You will partner with Data Operations, ML teams, and international hubs to establish core quality baselines and architect scalable taxonomy and MDM structures. This is a high-impact, execution-focused role for a builder who excels at translating governance policy into testable, working artifacts—ensuring our standards remain consistent, conflict-free, and actively enforced at scale.

About MediaRadarMediaRadar, equips marketing, sales and analytics leaders with the intelligence they need to stay ahead. Our platform delivers always-on, AI-enabled Creative, Competitive, Commercial and Market Intelligence—spanning ad strategy, media s...

Responsibilities

• Author, maintain, and version enterprise taxonomies, business term definitions, and master data hierarchies to consolidate legacy structures across four distinct organizations and two industries into a single unified taxonomy
• Translate governance strategies into structured, testable data quality rules—assigning consistent rule IDs across taxonomies to ensure governance actively runs in production systems..
• Run routine rule-library analysis to detect duplicates, conflicts, and coverage gaps, and prepare findings for governance review.
• Maintain metadata, documentation, and change history so definitions and rules remain traceable and auditable.
• Support intake and triage of new rule and definition requests from Data Operations and business stakeholders.
• Prepare reference data and golden-record candidates for governance certification, flagging anomalies and exceptions.
• Produce clear documentation and quick-reference guides that help stewards and analysts apply standards independently.
• Assist in preparing governance reporting, dashboards, and stakeholder updates.

Success Measures

Success in this role will be measured by:

• Rule & Taxonomy Integrity – Low and declining rates of duplicate, conflicting, or orphaned rules and definitions.
• Coverage – Measurable progress against taxonomy and reference data coverage targets across tiers.
• Turnaround – Timely, accurate processing of rule and definition requests within agreed SLAs.
• Traceability – Complete, auditable change history and documentation for governed artifacts.
• Usability – Stewards and analysts can apply standards from documentation without repeated escalation.
• Operationalization – Authored rules and definitions are actively used in classification and quality workflows.

Key Qualifications and Role Requirements

• 5+ years of hands-on experience in Data Governance, Master Data Management (MDM), Data Quality, or Data Architecture
• Proven experience building and operationalizing data governance foundations, taxonomies, and MDM frameworks from the ground up (not just maintaining existing frameworks).
• Hands-on experience maintaining taxonomies, controlled vocabularies, business glossaries, or rule libraries.
• Strong attention to detail and comfort working with structured data, spreadsheets, and governance tooling.
• Ability to translate governance decisions into precise, consistent, testable rules.
• Comfort with ambiguity and evolving standards in a maturing governance environment.
• Familiarity with data quality dimensions (accuracy, completeness, consistency, timeliness).
• Exposure to DAMA / DMBOK concepts a plus.
• Clear written and verbal communication skills.