Federal Pricing and Win Strategy Lead

Expert Price-to-Win (PTW) lead with deep expertise in federal acquisition, competitive intelligence, pricing strategy, financial modeling, and AI-enabled analytics. Serves as a trusted advisor to capture, proposal, and executive leadership teams by developing data-driven pricing strategies that maximize win probability while achieving profitability objectives. Leverages advanced cost estimating, market research, predictive modeling, machine learning, and generative AI tools to analyze procurement trends, assess competitor behavior, forecast winning price ranges, and support strategic bid decisions. Combines strong business acumen, quantitative analysis, and federal contracting knowledge to drive growth, improve win rates, and optimize contract performance across the federal marketplace.

Federal Acquisition & Contracting Expertise

• Expert knowledge of FAR and agency supplements (DFARS, GSAM, HSAR, VAAR, etc.)
• Understanding of federal procurement processes, source selection methods, and evaluation criteria
• Knowledge of contract types (FFP, CPFF, CPAF, T&M, IDIQ, BPA)
• Experience with cost realism, price reasonableness, and best-value tradeoff evaluations
• Understanding of federal budgeting, appropriations, and acquisition planning

Price-to-Win & Competitive Strategy

• Development and execution of Price-to-Win methodologies
• Competitive assessment and market intelligence analysis
• Win probability and affordability analysis
• Competitor pricing and incumbent positioning analysis
• Pricing strategy development aligned with capture and proposal objectives
• Margin optimization and strategic tradeoff analysis

Cost Estimating & Financial Analysis

• Basis of Estimate (BOE) development
• Bottom-up, parametric, and historical cost estimating
• Labor rate, indirect rate, escalation, and wrap-rate modeling
• Profitability, ROI, NPV, and cash-flow analysis
• Scenario planning, sensitivity analysis, and financial risk assessment
• Cost volume development and pricing compliance reviews

Data Analytics & Quantitative Modeling

• Statistical analysis and predictive modeling
• Regression analysis and trend forecasting
• Monte Carlo simulations and probabilistic modeling
• Data mining, benchmarking, and market analysis
• Quantitative decision support and risk modeling
• Development of data-driven pricing recommendations

Advanced Analytics

• Expert proficiency in Microsoft Excel
  • Financial modeling
  • Pivot Tables
  • Power Query/Power Pivot
  • VBA and automation
  • Dashboard development
• SQL and database querying
• Data visualization and reporting

Business Intelligence & Market Research

• Microsoft Power BI
• Tableau
• Federal procurement databases and market intelligence tools
• SAM.gov, FPDS-NG, USAspending.gov, agency forecasts, and contract award repositories

Data Analytics, AI & Quantitative Modeling

• Statistical analysis and predictive modeling
• Regression analysis and trend forecasting
• Monte Carlo simulations and probabilistic modeling
• Data mining, benchmarking, and market analysis
• AI-assisted competitive intelligence and market research
• Machine learning applications for price prediction and win probability analysis
• Predictive analytics using historical procurement and award data
• Large Language Model (LLM) applications for acquisition research, solicitation analysis, and proposal support
• Generative AI tools for data synthesis, trend identification, and scenario development
• Development of AI-enhanced pricing models and decision-support tools
• Quantitative risk analysis and optimization modeling
• Data visualization and executive decision analytics

• Expert proficiency in Microsoft Excel
  • Financial modeling
  • Pivot Tables
  • Power Query/Power Pivot
  • VBA and automation
  • Dashboard development
• SQL and database querying
• Data visualization and reporting

• Microsoft Power BI
• Tableau
• Federal procurement databases and market intelligence tools
• SAM.gov, FPDS-NG, USAspending.gov, agency forecasts, and contract award repositories