Hybrid: Infrastructure Capacity Planner – Demand Forecasting

Ladders; New York (NY); Hybrid; USD 320,000 - 405,000; Full time

Benefits offered by this job

Hybrid work policy

Visa sponsorship

Diversity-friendly environment

Job summary

Ladders is seeking an Infrastructure Capacity Planner, Demand Planning to join our client’s team in New York City. The role owns medium-range demand planning for critical infrastructure resources in a highly technical environment, building accurate forecasts, reconciling planned versus actual utilization, and ensuring incoming capacity aligns with expected demand.

You will also partner closely with Finance and other operational stakeholders to improve forecast quality and support cost-efficient

Qualifications

• 5-7 years of experience in capacity, demand, or supply planning in large-scale technical infrastructure.
• Proficiency in SQL, Python/pandas, and forecasting/optimization tools.
• Deep understanding of data-center resource classes and their forecasting variances.
• Preference for transparent, simple models with measurable forecast errors.
• Bachelor’s degree or equivalent experience in a relevant field.

Responsibilities

• Build and manage medium-range demand forecasts for diverse resource classes.
• Coordinate and analyze planned vs actual resource utilization.
• Validate incoming capacity against established forecasts.
• Partner with Finance to integrate financial insights into demand forecasts.
• Drive cost-efficiency initiatives based on data from forecasts.

Skills

SQL

Python/Pandas

Forecasting tools

Education

Bachelor's degree or equivalent experience in a relevant field

Tools

Forecasting tools

Job description

Ladders is seeking an Infrastructure Capacity Planner, Demand Planning to join our client’s team in New York City. The role owns medium-range demand planning for critical infrastructure resources in a highly technical environment, building accurate forecasts, reconciling planned versus actual utilization, and ensuring incoming capacity aligns with expected demand.

You will also partner closely with Finance and other operational stakeholders to improve forecast quality and support cost-efficient