Direct Line Workforce Solutions

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Infographic showing various job openings at Direct Line Workforce Solutions in the United States as of July 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution.

Senior Workforce Strategy Consultant - Washington, DC - $91,000-$225,000

Direct Line Workforce Solutions

Washington, DC • Hybrid

$91K - $225K/hr

Full-time

Posted 10 days ago


Job description

Location: Washington, DC 20036 -- Hybrid, 3 days onsite per week

Compensation: $91,000 - $225,000

A global leader in human capital consulting is hiring a Senior Workforce Strategy Consultant to join its team in Washington, D.C. This role combines deep workforce analytics and human capital strategy with the practical, responsible use of AI to deliver faster, more powerful, and more actionable insights. You will help clients predict, shape, and optimize workforce outcomes by blending traditional labor economics, I/O psychology, and statistical rigor with modern AI-assisted analytics, model governance, and operationalized data products.

What You'll Own

- 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, 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—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 the firm's intellectual capital by creating reusable AI-enabled frameworks, client accelerators, proposals, and thought leadership

What You'll Bring

- Minimum of 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 project 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

Nice to Have

- An AI-native mindset: the ability to evaluate new tools quickly, integrate them responsibly into client workstreams, and clearly communicate trade-offs (accuracy, speed, explainability, privacy)

- A consultative approach that couples rigorous analytic technique with a pragmatic implementation focus—able to move clients from insight to measurable action

- Comfort directing analysis end-to-end: from data strategy and ingestion through modeling, validation, visualization, and deployment guidance