We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Data Governance Lead at MediaRadar. About MediaRadar:. MediaRadar. , now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business.. Job Summary:. The Data Governance Lead will serve as a hands-on leader to drive the development and implementation of our enterprise-wide data governance framework. This role is critical to solving current data challenges, including inconsistent business rules, unclear data ownership, lack of data quality standards, fragmented business taxonomies, and absence of a centralized data catalog. The successful candidate will serve as a bridge between business and technical stakeholders to establish scalable governance practices that increase trust in data, reduce inefficiencies, and enable data-driven decision-making across the organization.. The Data Governance Lead will also play a central role in shaping our data culture—promoting shared accountability, transparency, and the mindset that data is a strategic asset. They will advocate for data best practices, foster trust in data-driven decision-making, and work across teams to embed governance into everyday workflows.. Responsibilities:. Governance Framework & Standards. . Design and implement a fit-for-purpose enterprise data governance framework.. . Develop and maintain policies, procedures, and standards for data governance, including data ownership, stewardship, access, and usage.. . Lead the rollout of role definitions for data owners and stewards across the business.. . Business Rules & Taxonomy Management. . Partner with business units to identify, standardize, and document core business rules and data definitions.. . Drive alignment and version control of business taxonomies, ensuring they are centrally maintained and regularly updated.. . Establish a governance process for creating, updating, and retiring taxonomy elements and business rules.. . Data Quality & Accountability. . Define and implement data quality dimensions (accuracy, completeness, timeliness, consistency, etc.) across key data domains.. . Collaborate with functional leads to establish and maintain quality rules and thresholds.. . Create a feedback loop to monitor data issues and ensure accountability for resolution.. . Data Ownership & Stewardship. . Lead the identification and onboarding of data owners and stewards.. . Facilitate training and engagement programs to support the ongoing participation of governance roles.. . Establish a RACI model to ensure clarity of responsibilities and decision-making authority.. . Metadata Management & Cataloging. . Lead the selection and implementation of a data catalog and metadata management solution (if not already in place).. . Work with technical teams to populate and maintain metadata in a centralized platform.. . Promote catalog adoption and usage across the enterprise.. . Cross-Functional Engagement. . Partner with data platform, engineering, analytics, legal, compliance, and business teams to embed governance in daily operations.. . Serve as a subject matter expert and advisor on data governance for major initiatives and projects.. . Success Measures:. Within 6 Months. . A baseline governance framework is established, with approved role definitions for owners and stewards.. . At least 75% of key data domains have assigned data owners and stewards, with RACI documented.. . Priority business rules and taxonomies are identified, with a process in place for standardization.. . Data quality dimensions and minimum rules are defined for 2–3 critical domains.. . A draft business case or roadmap for data catalog implementation is completed.. . Governance steering committee or working group is formed and actively engaged.. . Within 12 Months. . All business taxonomies are unified or rationalized, with governance in place to maintain them.. . Data quality KPIs are reported regularly and show measurable improvement in at least 6 domains.. . The data catalog is implemented or piloted, with adoption by key business users.. . Governance practices are embedded in 3+ cross-functional initiatives, reducing rework and confusion around data.. . Ongoing. . Governance policies and business rules are consistently followed and improved across teams.. . Metadata and taxonomy are continuously curated, updated, and adopted.. . Data issues are triaged and resolved within defined SLAs, demonstrating improved data trust and usability.. . Governance outcomes are reported to leadership, demonstrating impact on operational efficiency, regulatory readiness, and analytics enablement.. . . 7+ years of experience in data governance, data management, or enterprise data strategy.. . Proven track record designing and operationalizing governance frameworks at scale.. . Strong knowledge of data quality principles, business rules management, and metadata standards.. . Experience with data governance platforms (e.g., Collibra, Alation, Informatica, Atlan, Data.World) is a plus.. . Exceptional communication and stakeholder management skills.. . Ability to operate both strategically and tactically in a cross-functional environment.. . Company Location: United States.