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Program Manager Sr, AI Governance

CompraTica Empleos

EMP:Management
USA
Tiempo Completo
Remoto
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Descripción

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.

Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.

Our brand promise - Makes Work Life Betterâ„¢ - Reflects our commitment to employees, customers, partners and communities globally.

Acerca de

the opportunityAs a key member of Dayforce’s AI Governance team, the AI Governance Program Manager Senior plays a critical role in advancing Dayforce’s responsible AI and AI governance practices

This role supports the design, implementation, and continuous improvement of governance frameworks that enable compliant, ethical, and trustworthy use of AI across the organization.

The AI Governance Program Manager Senior partners closely with Legal, Privacy, Product, Engineering, Security, and Risk teams to assess AI and data-related risks, support regulatory compliance efforts, and operationalize governance controls across Dayforce’s AI ecosystem.

This individual combines strong analytical.

Habilidades

, governance expertise, and technical understanding of AI systems to help ensure Dayforce’s AI solutions align with evolving regulatory

Requisitos

, industry standards, and internal governance objectives.This role reports to the leader of AI Governance.What you'll get to do • Interpret emerging AI governance regulations, standards, and industry frameworks, and apply them to real-world AI use cases across the organization. • Support AI governance compliance initiatives by identifying gaps, recommending remediation activities, and assisting with internal and external audits. • Conduct and own risk assessments for complex AI systems, including identifying systemic risks, monitoring model bias trends, and evaluating mitigation strategies. ...

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