What are the responsibilities and job description for the Senior Workforce Strategy Consultant position at Federal Staffing Solutions Inc.?
Our client is seeking an experienced Senior Workforce Strategy Consultant to
join our Washington, D.C. office. This role combines deep workforce analytics
and human capital strategy with 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.
We will count on you to:
- 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.
What success looks like:
- Clients adopt model-driven
workforce decisions (e.g., hiring prioritization, targeted retention
programs, reskilling investments) that measurably improve engagement,
productivity, or cost-efficiency.
- Analytic products are accurate,
explainable, reproducible, and built with operational controls so clients
can 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-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.
What sets you apart:
- An AI-native mindset: you can
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 pragmatic implementation
focus—able to move clients from insight to measurable action.
- Comfortable directing analysis
end-to-end: from data strategy and ingestion through modeling, validation,
visualization, and deployment guidance.
Why join our team:
- We help you be your best through
professional development opportunities, interesting work, and supportive
leaders.
- We foster a vibrant and inclusive
culture where you can work with talented colleagues to create new
solutions and have an impact for colleagues, clients, and communities.
- Our scale enables us to provide a
range of career opportunities, as well as benefits and rewards to enhance
your well-being.
Must 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-O psychology, statistics, data science,
computer science, labor relations, or another quantitative discipline.
Business development, lead generation and qualification, sales process
management, client relationship management, proposal and Statement of Work
(SOW) development, contract negotiation, and new business acquisition/closing. The candidate should demonstrate a
proven ability to identify and develop new client opportunities, manage the
sales cycle from prospecting through closing, create effective proposals and
SOWs, negotiate commercial terms, build strong client relationships, and
successfully win new business
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.