Press Ganey Associates, LLC logo

Senior Consultant, Employee Experience

Job Overview

Location

Remote, TX

Job Type

Full-time

Category

HR & Recruiting

Date Posted

April 18, 2026

Full Job Description

📋 Description

  • As a Senior Consultant in Employee Experience at Press Ganey, you will partner with healthcare clients to define organizational priorities, analyze workforce and experience data, and deliver strategic recommendations that drive sustainable culture and performance transformation.
  • Day to day, you will lead consulting delivery workstreams, develop high-quality client deliverables, build trusted advisor relationships with executive leaders, and identify opportunities for expanded engagement while ensuring adherence to methodologies, timelines, and quality standards.
  • Press Ganey is a leader in experience measurement and data analytics, serving global clients across industries with a foundation in healthcare, where we combine technology, data, and expertise to improve human experiences at the heart of business.
  • In this role, you will deepen your expertise in workforce engagement, lead large-scale transformation initiatives, influence C-suite stakeholders, and grow as a trusted advisor in employee experience consulting while contributing to internal innovation and knowledge sharing.

Skills & Technologies

Senior
Remote
Degree Required

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Press Ganey Associates, LLC logo
Press Ganey Associates, LLC
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About Press Ganey Associates, LLC

Press Ganey Associates provides healthcare performance analytics, patient-experience measurement, and safety-quality improvement solutions to hospitals, health systems, physician practices, and payers. Founded in 1985, the company collects and benchmarks patient, employee, and consumer feedback, then delivers software dashboards, consulting, and best-practice guidance that help clients improve clinical outcomes, reduce harm, and enhance caregiver engagement. Its integrated platform combines CAHPS surveys, real-time digital rounding, workforce analytics, and risk-prediction models used by more than 41,000 facilities globally.

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