Workforce Management Lead, US

About the role

Mission Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear. In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives.

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 first and foremost a strategic, data-driven role. The Workforce Management Lead will analyze and understand Neko's labour performance and measuring end to end — from raw operational data through to the strategic staffing and cost decisions that data should drive — and will explore AI-enabled ways to structure and organize the workforce, rather than defaulting to manual or legacy scheduling methods. This role is also expected to contribute to day-to-day rota scheduling support.

Responsibilities

• Strategic labour analytics (lead priority)
  • Own end-to-end analysis of Neko's labour performance and metrics — productivity, utilization, cost per labor hour, and labor waste — from raw data through to a strategic read leadership can act on, not just a monitoring dashboard.
  • 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).
• AI-enabled workforce design
  • Explore AI-enabled approaches to structuring and organizing the workforce — e.g., using AI/ML methods to improve shift-pattern design, coverage modeling, or forecasting accuracy — rather than relying solely on manual or legacy methods.
  • Identify and pilot specific opportunities where AI or automation can materially improve staffing efficiency or decision quality.
• Data & systems build
  • Design and build the forecasting models, dashboards, and staffing tools this role depends on, rather than operating tools built by another team.
  • Structure the right tech stack for scheduling, time tracking, and leave management, and identify automation opportunities within it.
• Cross-functional coordination
  • Work with HR, Operations, and Medical Operations to manage absenteeism, overtime, and productivity gaps, using the labour-analytics work above to inform those conversations.
• Day-to-day: rota scheduling support