Senior Data Governance Analyst

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We're excited to meet people who share our values and want to build the future with us.

• 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).
• Clear written and verbal communication skills.

• Exposure to DAMA / DMBOK concepts a plus.

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.

• 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.

• 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.