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Sales enablement platforms customized for media, and ad tech companies that help you close more deals.
Senior Data Governance Lead
Location
India
Posted
137 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Governance Lead
MediaRadar, Inc.
• Lead the design and governance of an enterprise taxonomy and data rule framework, including business terms, entities, products, and classification hierarchies that support consistent data use. • Translate business needs into clear, objective, and measurable data and quality rules that can be implemented, tested, and monitored. • Develop governance frameworks that connect taxonomy → business rules → data quality standards → measurable outcomes. • Partner with data engineering, analytics, and product teams to embed governance requirements into data pipelines, tooling, and workflows. • Establish standards for rule authoring, validation, conflict detection, and lifecycle management. • Drive clarity and consistency in definitions, metadata, and documentation across domains. • Support the creation of data quality metrics, thresholds, and reporting aligned to business use cases. • Coach and enable data owners, stewards, analysts, and associates to apply governance standards confidently and consistently. • Contribute to governance operating models, playbooks, and training materials designed for both technical and non-technical audiences. • Act as a thought partner on governance best practices, tooling needs, and maturity progression.
Job Requirements
- 5–10 years of experience in data governance, data management, data quality, analytics, or data operations.
- Proven experience designing or implementing taxonomy frameworks, classification systems, or business term definitions.
- Strong ability to translate complex business concepts into structured, objective rules.
- Experience working cross-functionally with data engineering, analytics, product, and operational teams.
- Demonstrated success moving organizations from ad hoc or narrative governance toward structured, standards-based approaches.
- Familiarity with data quality dimensions (e.g., accuracy, completeness, timeliness, consistency) and how to operationalize them.
- Knowledge of or certification in DAMA / DMBOK is a strong plus.
- Comfort operating in environments with evolving maturity and ambiguity.
- Excellent written and verbal communication skills.
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