PV

Estimation Manager

Hiring from
United Arab Emirates
Work type
Remote
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Role Description The Estimation Manager is a part-time, remote role responsible for developing and managing estimation frameworks for academic workload, resource allocation, and program pricing across Pi Vector’s IB, Cambridge, and Olympiad offerings. This role includes analyzing curriculum requirements and student cohorts to estimate teaching hours, content development needs, and instructor staffing levels. The Estimation Manager will collaborate with academic leads to forecast timelines, capacity, and costs for new and existing programs, ensuring accurate proposals and operational plans. Day-to-day tasks include reviewing historical data, building estimation models, preparing reports for leadership, updating assumptions as programs evolve, and supporting decision-making for program expansion. The role also involves maintaining clear documentation of estimation methodologies and communicating findings to cross-functional stakeholders.

Qualifications

  • Strong analytical and quantitative skills, including experience with data analysis, forecasting, and building estimation or capacity models.
  • Familiarity with educational programs or curricula, ideally IB, Cambridge, or math Olympiads, and the ability to translate academic requirements into workload and resource estimates.
  • Proficiency with spreadsheets and related tools (e.g., Excel, Google Sheets) for modeling, reporting, and scenario analysis.
  • Excellent organizational and documentation skills, with attention to detail and the ability to manage multiple projects and timelines in a remote setting.
  • Clear written and verbal communication skills to present estimates, assumptions, and recommendations to academic and operational teams.
  • Ability to work independently, collaborate virtually with a diverse team, and adapt to changing program needs and priorities.
  • Relevant experience in operations, project management, educational consulting, or resource planning is preferred.
  • Bachelor’s degree in mathematics, education, business, statistics, or a related field, or equivalent practical experience.

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