AI-Driven Employee Experience Analyst

WTW; Chicago (IL); Hybrid; USD 73,000 - 75,000; Full time

Benefits offered by this job

Health and Welfare Benefits

401k Retirement Benefits

Paid Holidays and PTO

Job summary

Willis Towers Watson is seeking an Analyst/Communicator in Employee Experience to collaborate on cross-functional client engagements, delivering on employee experience, total rewards communications, and workforce transformation initiatives. You will apply AI-assisted research and human judgment to ensure accuracy, confidentiality and client suitability.

You will work with senior colleagues, manage timelines, and contribute to strategy and implementation across Embark and related digital

Qualifications

• Knowledge of communication, change management, marketing, digital and social media trends and their application to client solutions.
• Professional presence and strong written, web and oral communication skills, with creativity and technical aptitude.
• Ability to manage priorities, own defined workstreams, exercise judgement within guardrails and seek guidance when requirements or risks are unclear.
• Strong problem-solving, project management, analytical, interpersonal and teamwork skills, including the ability to leverage related practices.
• Ability to analyze data, test assumptions, distinguish evidence from inference and translate insights into audience-specific recommendations.
• Understanding of agile principles and design thinking.
• Practical AI literacy, including prompt and context design, source-grounded research, iterative testing, fact and citation validation, bias awareness and responsible use of approved tools.
• Availability to travel as needed.
• Able to work legally in the United States indefinitely and without Visa sponsorship
• Progress towards a Bachelor’s degree in liberal arts, communications, journalism, business, or a related field with a minimum overall GPA of 3.0.
• Accepting applications from candidates that graduate between May 2026 through June 2027.

Responsibilities

• Research, analyze, write and refine employee experience materials, using AI for first drafts and analysis while applying strong editing, storytelling and audience-adaptation skills.
• Build technical knowledge across industries and human capital topics.
• Produce high-quality work and manage assigned activities consistently, including quality assurance of AI-assisted and human-created deliverables.
• Coordinate stakeholders and projects by tracking decisions, actions, risks, dependencies, timelines and communications.
• Conduct interviews and synthesize qualitative and quantitative findings into clear insights and recommendations.
• Prepare for and participate in client meetings, present selected work, facilitate portions of discussions and follow through on actions with coaching.
• Create reusable prompts, context, examples and workflow instructions for recurring work.
• Test digital and AI-enabled experiences for usability, accessibility, accuracy and failure modes, and recommend evidence-based improvements.
• Apply responsible AI practices covering privacy, confidentiality, intellectual property, bias, sourcing and human review; elevate uncertainty or risk.
• Support business development and intellectual capital by drafting statements of work, project plans and budgets and contributing to new tools and approaches.

Skills

Knowledge of communication, change mgm

Professional presence and strong writt

Ability to manage priorities and own w

Strong problem-solving and project man

Data analysis and insights translation

Understanding of agile and design thi

AI literacy: prompts, research, bias

Willingness to travel

US work authorization without visa s

Bachelor’s degree progress GPA 3.0

Graduation window May 2026–June 2027

Education

Bachelor’s degree in liberal arts, communications, journalism, business, or related field

Job description

Willis Towers Watson is seeking an Analyst/Communicator in Employee Experience to collaborate on cross-functional client engagements, delivering on employee experience, total rewards communications, and workforce transformation initiatives. You will apply AI-assisted research and human judgment to ensure accuracy, confidentiality and client suitability.

You will work with senior colleagues, manage timelines, and contribute to strategy and implementation across Embark and related digital