Program Manager Sr, AI Governance

Posted Friday, June 12, 2026 at 4:00 AM | Expires Thursday, August 13, 2026 at 3:59 AM

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 prom ise - Makes Work Life Better ™ - Reflects our co mmitment to employees, customers, partners and communities globally.

As a key member of Dayforce’s AI Governance team, theAI 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.

TheAI 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 skills, governance expertise, and technical understanding of AI systems to help ensure Dayforce’s AI solutions align with evolving regulatory requirements, industry standards, and internal governance objectives.

This role reports to the leader of AI Governance.

• 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.
• Participate in AI model and algorithm reviews to assess governance, compliance, ethical, and operational risk considerations.
• Contribute to the development, implementation, and maintenance of AI governance frameworks, controls, standards, and operational processes.
• Map governance controls to applicable regulatory requirements and industry standards such as ISO, NIST, and emerging AI regulatory frameworks.
• Lead components of governance framework reviews and drive continuous improvements to governance processes and documentation.
• Partner cross-functionally with Product, Engineering, Data Science, Security, Legal, Privacy, and Enterprise Risk teams to operationalize responsible AI practices.
• Develop governance reports, presentations, risk summaries, and technical documentation tailored to both technical and non-technical audiences.
• Support governance committees, audit activities, and regulatory inquiries with minimal oversight.
• Manage governance initiatives end-to-end, including timelines, dependencies, stakeholder coordination, and delivery accountability.
• Evaluate AI and data architecture considerations to identify governance, compliance, privacy, and operational risks associated with AI systems.
• Support metadata governance, model documentation, model inventory management, and AI lifecycle governance activities.
• Anticipate business impacts of governance decisions and communicate recommendations clearly and effectively to stakeholders across the organization.
• Help foster a culture of responsible AI, ethical data usage, and continuous governance improvement across Dayforce.

• 5+ years of experience in AI governance, technology risk, data governance, compliance, privacy, cybersecurity, model risk management, or related fields.
• Post-secondary education certificate or university degree in Computer Science, Information Systems, Risk Management, Data Governance, Law, Business, or a related discipline required.
• IAPP certification preferred.
• Strong understanding of AI governance principles, model risk management concepts, and responsible AI practices.
• Fami…