Senior Workforce Strategy Consultant

Marsh McLennan

Senior Workforce Strategy Consultant at Mercer utilizing AI and analytics to drive workforce strategies and solutions for clients. Engaging in deep workforce analytics to optimize workforce outcomes across various sectors.

Posted 5/10/2026full-timeWashington • New York, Pennsylvania, Washington • 🇺🇸 United StatesSenior💰 $165,500 - $331,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Translate business problems into analytics-driven workforce solutions that combine qualitative research, advanced statistics, and AI-enabled methods (including machine learning and large language models) to uncover workforce dynamics and strategic opportunities
Design, build, and operationalize analytic models and data products (e.g., forecasting models, skills taxonomies, retention risk scoring, internal mobility recommendations) that leverage structured data, unstructured text (job descriptions, performance feedback), and third-party labor market signals
Lead client engagements as the analytics and AI subject-matter lead: define analytic approaches, present findings, translate insights into prioritized workforce investments, and co-create implementation roadmaps with client stakeholders
Drive pay equity, strategic workforce planning, and external labor market analyses using both classical econometrics and AI-enhanced approaches; quantify business impact and ROI for recommended interventions
Create and deliver clear, compelling deliverables—interactive dashboards, visualizations, client-ready slide decks, and data stories—using best practices in interpretability and design so technical results are actionable for HR and business leaders
Ensure responsible AI use: implement model validation, bias detection and mitigation, explainability techniques, privacy-preserving practices, and documentation consistent with client and regulatory requirements
Contribute to Mercer's intellectual capital: create reusable AI-enabled frameworks, client accelerators, proposals, and thought leadership that reflect emerging practice in AI-driven workforce strategy

Requirements

What you’ll need

8+ years of relevant experience in workforce strategy, HR analytics, labor economics, organizational psychology, or a closely related field
Master’s or PhD in economics, I-O psychology, statistics, data science, computer science, labor relations, or another quantitative discipline
Demonstrated experience in pay equity analysis, strategic workforce planning, external labor market analysis, or comparable workforce consulting engagements
Strong statistical and machine learning skills: regression, causal inference, time series, clustering, and predictive modeling
Proficiency in modern data tooling and languages (e.g., Python, R, SQL) and experience with visualization tools (e.g., Tableau)
Hands-on experience extracting value from large and varied datasets and translating technical outputs into business actions
Excellent storytelling, client-facing communication, and project leadership skills

Benefits

Comp & perks

Health and welfare benefits
Tuition assistance
401K savings and other retirement programs
Employee assistance programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

analytics-driven solutionsadvanced statisticsmachine learninglarge language modelsforecasting modelsskills taxonomiesretention risk scoringclassical econometricspredictive modelingdata storytelling

Soft Skills

client-facing communicationproject leadershipstorytellingcollaborationpresentation skillsinterpretabilitydesign best practicesstakeholder engagementproblem-solvingstrategic thinking

Certifications

Master’s degreePhDcertification in data sciencecertification in HR analyticscertification in machine learningcertification in statisticscertification in organizational psychologycertification in labor relationscertification in econometricscertification in workforce strategy