Director, Capacity Planning

Quick Facts

• Role: Capacity Planning Director (Software Engineering)

• Focus: Global infrastructure capacity planning, forecasting, and risk/investment decision support

Description

Drive multi-million dollar strategic infrastructure decisions by scoping, analyzing, and forecasting infrastructure demand at global scale. Build custom demand forecasting and scenario models that quantify uncertainty, capacity shortfall risk, and excess-capacity cost, and influence executive decision-making across product and engineering teams. Manage capacity planning risk across software and hardware, using advanced forecasting and AI-assisted workflows to improve planning quality and cycle time.

Responsibilities

• Build and maintain a trusted capacity planning data foundation reconciling service demand, utilization, cloud reservations, supplier availability, and cost with clear metrics, ownership, and automated quality checks.

• Develop and validate demand forecasts and scenario models; track forecast accuracy and bias and improve assumptions using actual results.

• Manage a team of 3–5 capacity planners responsible for reservations across subsets of service owners and multiple IaaS providers.

• Use AI assistants and agent workflows to automate data investigation, variance analysis, scenario preparation, and executive reporting with human review for consequential recommendations.

• Grow the team’s SQL, Python, statistical modeling, and AI capabilities via coaching, reusable analytical methods, and peer review.

Requirements

• 7+ years of experience in operations, business intelligence, strategy, capacity planning, financial modeling, analytics, or similar roles.

• Strong analytical skills consolidating complex datasets from disparate systems to produce a clear narrative.

• Fundamental knowledge of systems infrastructure and how services interact with underlying hardware.

• Experience building statistical models.

• Track record using data to influence and align C-suite/board-level executives on high-stakes infrastructure and financial investments.

• Ability to present data consistently and repeatably to stakeholders.

• High attention to detail with a focus on data quality.

• SQL and Python proficiency; Claude skills/MCP and prompt engineering experience.

• BA/BS in a relevant field preferred (Statistics, Economics, Business, Operations, or Computer Science/Engineering); equivalent experience acceptable.

Benefits

• Benefits and resources to support work-life balance and personal growth.

• AI agents to accelerate impact and help deliver better outcomes.

• Time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and employee stock purchasing program.