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MediaRadar, Inc. logo
MediaRadar, Inc.

Sales enablement platforms customized for media, and ad tech companies that help you close more deals.

Senior Data Governance Lead

RiskRiskFull TimeRemoteSeniorTeam 201-500Since 2007H1B No SponsorCompany SiteLinkedIn

Location

India

Posted

137 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglish

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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