Lead CFD Analyst - Data Center Analytics

WSP Global Inc.; Herndon (VA); On-site; USD 131,000 - 182,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Retirement savings

Paid time off

Paid parental leave

Job summary

WSP USA seeks a Lead CFD Analyst to join our Data Centers Analytics team. You will lead complex CFD studies, mentor staff, and shape best practices that improve project quality across world-class data center projects.

Collaborate with mechanical, electrical, architectural, and PM teams; drive automation, AI-assisted workflows, and advanced analytics to accelerate delivery while maintaining high-quality results.

Qualifications

• Bachelor's degree in mechanical engineering or related field.
• 7+ years of CFD experience in building systems or data center contexts.
• Expertise in CFD, thermodynamics, heat transfer, and airflow modeling.
• Ability to lead complex analyses and guide multidisciplinary teams.

Responsibilities

• Lead advanced CFD analyses for mission critical facilities, including indoor/outdoor airflow and cooling optimization.
• Act as the technical authority for CFD methods, modeling assumptions, and result interpretation.
• Perform QA/QC reviews and establish CFD standards, workflows, and documentation.
• Manage multiple studies, coordinate with mechanical, electrical, architectural, and PM teams.
• Mentor junior analysts and develop onboarding and knowledge-sharing initiatives.
• Engage clients with clear CFD findings, lead workshops, and support proposals.

Skills

CFD

Thermodynamics

Heat Transfer

Airflow Modeling

Building Mechanical Systems

Leadership

Client Communication

Education

Bachelor's Degree in Mechanical Engineering

Master's Degree in Mechanical Engineering

Tools

STAR-CCM+

Fluent

OpenFOAM

FDS

RealityDC

Python

C++

Java

Job description

WSP USA seeks a Lead CFD Analyst to join our Data Centers Analytics team. You will lead complex CFD studies, mentor staff, and shape best practices that improve project quality across world-class data center projects.

Collaborate with mechanical, electrical, architectural, and PM teams; drive automation, AI-assisted workflows, and advanced analytics to accelerate delivery while maintaining high-quality results.