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Director, Data & AI Governance

CadentNew York, NY, US
Full-timeExecutive
👁️ 2 views📝 0 applicationsPosted 6/5/2026Expires 10/6/2026
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Job Description

Overview Cadent ignites seamless connections between brands, publishers & consumers. Our predictive AI orchestrates outcomes on any platform customers are on, across any media they consume & at any stage of the journey. To learn more, please visit Cadent. com.

We are seeking a visionary and strategic leader to join our team as the Director of Data and AI Governance. Reporting directly to Chief Data Officer, you will be the central pillar for all governance-related initiatives across Cadent.

This is a critical role responsible for leading our AI Governance Center of Excellence (COE) and shaping the policies that will guide our responsible and ethical use of data and artificial intelligence.

You will be instrumental in building the framework that ensures trust, compliance, and innovation as we navigate the new agentic era.

Responsibilities

Develop & Operationalize Governance: Design, implement, and operationalize a comprehensive, enterprise-wide governance framework for data and AI. This includes creating and maintaining policies, standards, and actionable operational procedures.

Lead the AI Governance COE: head the AI Governance Center of Excellence (COE), establishing a central body for policy creation, ethical review, and strategic guidance. You will facilitate governance forums and cross-functional decision-making.

Risk Management & Compliance: Identify, assess, and mitigate AI-related risks, including data privacy, cybersecurity, model bias, and third-party vendor risks. You will define risk tiers and approval pathways for AI use cases and ensure all practices align with global regulatory requirements (e. g.

, GDPR, CCPA, EU AI Act). Drive Implementation & Adoption: Partner with Engineering, Product, and business leaders to embed governance controls and data stewardship into the entire AI lifecycle, from ideation to deployment and monitoring.

Work with Business Units to support, drive and monitor the implementation of Data Management (covering Data Quality, M

Required Skills

Data GovernanceAI GovernancePolicy Development

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