Product Manager - Workforce Management | Senior Enterprise Product Consultant (Retail WFM & Scheduling)

Job Title: Product Manager - Workforce Management | Senior Enterprise Product Consultant (Retail WFM & Scheduling) Location: New York, NY Work Arrangement: Hybrid (Remote with a mandate of 25% monthly presence / 1 week per month onsite in NYC) Employment Type: Contract Duration: 13 months Pay Range: $50.45/hr. To $55.38/hr. On W2 | $64.29/hr. to $72.00/hr. on C2C Domain: Retail Operations Tech & Fashion Luxury Group Application Deadline: June 20, 2026 SKILLS REQUIRED Primary (Must-Have):

• 15+ years of total IT and business consulting experience, with 5+ years dedicated specifically to enterprise Product Management
• Extensive technical hands-on experience leading Workforce Management (WFM) implementations, with a hyper-focus on workforce scheduling systems
• Firsthand US Retail Store operational experience (worked directly on the retail floor as an associate, team lead, or store manager)
• Proven fluency navigating complex algorithmic systems, automated labor demand forecasting models, and core enterprise application integrations
• Expert capability in managing complex B2B, enterprise SaaS, or internal Human Capital Management (HCM) systems

Secondary (Good to Have)

• Mastery of strategic product ownership frameworks (e.g., the "Informed Captain" model) to drive decisive, data-backed choices
• Deep knowledge of US localized labor compliance rules (predictive scheduling legislation, mandatory rest breaks, minor labor rules)
• Strong analytical polish with the ability to translate operational retail KPIs and labor metrics into clear ROI models for executive stakeholders
• Experience in corporate organizational change management, driving software adoption across distributed, non-technical end-user populations

POSITION OVERVIEW We are seeking a highly accomplished, elite Product Management Consultant with a deep, 15-year background in retail technology to spearhead the evolution of our store scheduling and Workforce Management (WFM) platforms. This hybrid role based out of New York, NY, is designed for a strategic "Informed Captain" who possesses authentic, firsthand experience on the retail floor. You will bridge the gap between complex engineering algorithms, data science forecasting models, corporate finance constraints, and the real-world operational realities of store managers. Your objective is to build empathetic, scalable scheduling systems that maximize corporate labor optimization while drastically boosting store associate morale and compliance safety. ROLES & RESPONSIBILITIES

• Define, champion, and execute the multi-year product roadmap for enterprise retail scheduling and labor optimization systems, aligning development with overarching corporate fiscal goals.
• Apply cognitive empathy and user research principles to gather actionable requirements from store managers and associates, converting operational friction points into crisp engineering features.
• Partner closely with Data Science, IT Engineering, and Retail Operations to build and refine predictive scheduling engines that accurately forecast labor demands.
• Secure cross-functional alignment across IT, Data Science, Corporate Finance, and Retail leadership, acting as the ultimate domain owner for technical product strategy.
• Enforce strict compliance across scheduling engines, integrating localized US labor compliance frameworks, mandatory rest rules, and predictive scheduling laws dynamically into software workflows.
• Formulate robust rollout and change management frameworks to ensure smooth platform adoption across corporate stores, minimizing disruption during wide-scale tool launches.
• Monitor and evaluate labor utilization metrics, forecasting accuracies, and software performance parameters to present clear system ROI to executive leadership.

BENEFITS Medical | Dental | Vision | 401(k) EEOC Compliance We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.