Dayforce Senior Advanced Scheduling Specialist

Confidential

Not specified permanent

Posted: February 11, 2026

Job Description

JOB SUMMARY:

We are looking for a Senior Advanced Scheduling Specialist
with strong
Dayforce Workforce Management (WFM)
experience to support complex scheduling needs in a retail environment. This is a hands-on role focused on designing, configuring, and continuously optimizing advanced scheduling strategies to balance demand, labor efficiency, and compliance. The ideal candidate can join immediately and bring deep expertise in scheduling rules, labor compliance, and data-driven workforce optimization.

JOB RESPONSIBILITIES:

Design and implement advanced workforce scheduling strategies aligned to retail business needs, including peak periods, seasonal demand, and workforce fluctuations

Configure, maintain, and enhance scheduling rules within Dayforce WFM to support business policies, union agreements, and labor laws

Leverage AI-driven and predictive scheduling tools to design and refine scheduling logic, balancing capacity, demand, and compliance

Continuously review and improve scheduling rules based on performance outcomes and changing business requirements

Monitor schedule adherence, forecast accuracy, and labor utilization, providing insights and actionable recommendations

Ensure full compliance with local labor regulations, including rest and meal break rules, overtime, and contractual obligations

Analyze workforce and scheduling data to identify trends, inefficiencies, and opportunities for optimization

Partner closely with HR, Operations, and business stakeholders to support effective workforce planning and execution

Support ongoing enhancements and best-practice adoption within the scheduling function

JOB QUALIFICATIONS:

Strong hands-on experience with Dayforce Workforce Management, specifically advanced scheduling

Proven experience designing and maintaining complex scheduling rules in retail or multi-site environments

Solid understanding of labor compliance, union agreements, and scheduling regulations

Experience using AI, predictive, or generative tools to enhance scheduling logic and outcomes

Strong analytical skills with the ability to interpret workforce data and translate insights into action

Ability to work in fast-paced environments and manage changing priorities

High attention to detail with a strong focus on accuracy and compliance

Strong communication and stakeholder management skills

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