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Workforce Manager

Remote · USA Full-time New today

Job Description:

  • Own short- and long-term workforce forecasts using historical data, trend analysis, and AI-driven predictive models
  • Conduct capacity planning to identify staffing gaps and recommend hiring, redeployment, or efficiency strategies
  • Produce monthly executive readouts covering workforce planning performance (forecast accuracy, staffing vs. demand, shrinkage), service-level outcomes and operational KPIs, org-level results and trends, with clear insights and recommendations
  • Develop and maintain reporting that connects WFM inputs to business outcomes (SLA attainment, productivity, cost, customer experience)
  • Analyze and communicate key metrics: service level, ASA, occupancy, adherence, shrinkage, and utilization
  • Translate complex datasets into concise, actionable insights for technical and non-technical audiences related to overall organizational performance including BOT insights.
  • Partner cross-functionally with Operations, Training, and Leadership to align workforce plans with business priorities
  • Continuously improve forecasting models, reporting accuracy, and WFM processes using industry best practices

Requirements:

  • 3+ years of workforce management experience in a contact center, service desk, or customer support environment
  • Proven experience with AI-enabled WFM platforms, including predictive analytics and automation
  • Strong background in data analysis, insights generation, and leadership-facing reporting
  • Demonstrated experience with WFM tools (e.g., NICE IEX, Verint, Genesys, Calabrio, Talkdesk, Aspect, or similar)
  • Advanced Excel skills (pivot tables, XLOOKUP/VLOOKUP, complex formulas, data visualization)
  • Solid understanding of forecasting methodologies, statistical concepts, and workforce optimization (Erlang C, SLAs, occupancy)
  • Ability to connect workforce data to broader organizational performance and business outcomes
  • Clear, concise communicator with strong storytelling skills using data
  • Comfortable operating in ambiguity and fast-changing environments.
  • Bachelor’s degree in Business, Analytics, Statistics, Operations Management, or related field or equivalent combination of education and experience

Benefits:

  • Flexible vacation
  • Generous parental leave
  • Mental wellbeing support
  • Physical health benefits
  • Financial planning support
  • Engaging perks and discounts

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