Źródło:
Workforce Management Lead, US
Neko Health
New York, Stany Zjednoczone
Data publikacji: 03.11.2026
Neko Health is expanding into the US market, and this role is being created to make sure staffing, shift structures, and labor resources keep pace with that growth without compromising service levels or cost efficiency. This is a strategic, data-driven role focused on analyzing labour performance, exploring AI-enabled workforce design, building forecasting and scheduling tools, and supporting day-to-day rota scheduling across clinics in multiple geographies.
Responsibilities
Own end-to-end analysis of labour performance and metrics (productivity, utilization, cost per labor hour, labor waste) through to a strategic read leadership can act on; Develop short- and long-term labor forecasts using historical data, seasonality trends, and business growth projections; Provide insights and recommendations to leadership on staffing and operational decisions, including staffing adjustments during demand surges (e.g., flu season); Explore AI-enabled approaches to structuring and organizing the workforce, such as AI/ML methods for shift-pattern design, coverage modeling, or forecasting accuracy; Identify and pilot opportunities where AI or automation can materially improve staffing efficiency or decision quality; Design and build forecasting models, dashboards, and staffing tools; Structure the tech stack for scheduling, time tracking, and leave management, and identify automation opportunities within it; Work with HR, Operations, and Medical Operations to manage absenteeism, overtime, and productivity gaps; Support rota scheduling and shift coverage across clinics in multiple geographies, ensuring the right staffing mix across shifts (days, evenings, weekends); Support shift bid processes and shift rotations to optimize coverage and employee satisfactionRequirements
Proven experience of building a workforce forecasting model, staffing tool, or scheduling dashboard from scratch, not only configuring or operating one built by another team or vendor; Experience applying AI or machine-learning methods to workforce planning, forecasting, or scheduling problems; Has owned workforce planning and labour-metrics analysis across multiple sites; Strong analytical skills with proficiency in data tools (e.g., Excel, Tableau, SQL) and workforce planning systems; Excellent written and verbal communication skills in EnglishNice to have
Background in any shift-based, multi-site industry (e.g., retail, logistics/warehousing, aviation, hospitality, manufacturing) is valued as much as healthcare experienceJak aplikować
Aplikuj online: https://www.jobs.pl/oferta/101287672/aplikuj
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