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IT​/Tech, AI Business & Operations, Business Intelligence

Job in Washington, District of Columbia, 20022, USA
Listing for: Zohorecruit
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    AI Business & Operations, Business Intelligence, Data Scientist
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Full time

Federal Staffing Solutions Inc. | Full time

Washington, United States | Posted on 10/02/2026

We connect our employees with some of the best opportunities around.

Timeand again, our employees tell us that the most important thing we offeris respect. Federal Staffing Solutions puts people to work in alltypes of jobs. When you work with us, you build a relationship with ateam of employment professionals in your community who have, in turn,built professional relationships with the businesses that are hiring.

We are looking for a Senior Workforce Strategy Consultant to work in Washington, DC supporting our client.

Our client is seeking an experienced Senior Workforce Strategy Consultant tojoin our Washington, D.C. office. This role combines deep workforce analytics and human capital strategy with practical, responsible use of AI to deliverfaster, more powerful, and more actionable insights. You will help clientspredict, shape, and optimize workforce outcomes by blending traditional laboreconomics, I/O psychology, and statistical rigor with modern AI-assistedanalytics, model governance, and operationalized data products.

We

will count on you to:
  • Translate business problems intoanalytics-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 strategicopportunities.
  • Design, build, and operationalizeanalytic models and data products (e.g., forecasting models, skillstaxonomies, 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 theanalytics and AI subject-matter lead: define analytic approaches, present findings, translate insights into prioritized workforce investments, andco-create implementation roadmaps with client stakeholders.
  • Drive pay equity, strategicworkforce planning, and external labor market analyses using bothclassical 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 ininterpretability and design so technical results are actionable for HR and business leaders.
  • Ensure responsible AI use:implement model validation, bias detection and mitigation, explainabilitytechniques, privacy-preserving practices, and documentation consistent with client and regulatory requirements.
  • Contribute to Mercer'sintellectual capital: create reusable AI-enabled frameworks, clientaccelerators, proposals, and thought leadership that reflect emergingpractice in AI-driven workforce strategy.
What success looks like:
  • Clients adopt model-drivenworkforce decisions (e.g., hiring prioritization, targeted retentionprograms, reskilling investments) that measurably improve engagement,productivity, or cost-efficiency.
  • Analytic products are accurate,explainable, reproducible, and built with operational controls so client scan scale and govern them post-engagement.
What you need to have:
  • 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-Opsychology, statistics, data science, computer science, labor relations,or another quantitative discipline.
  • Demonstrated experience in payequity 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…
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