Senior Workforce Strategy Consultant

Globalchannelmanagement

  • Washington D.C., Washington
  • 18 days ago

    Highlights

    Duties: 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. 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.

    Numbers & Facts

    LocationWashington D.C., Washington

    Description

    Senior Workforce Strategy Consultant requires:

    • Workforce strategy, HR analytics, labor economics, organizational psychology, or a closely related field.
    • 8+ years of relevant consulting 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.

    Duties:

    • 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.

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