Essential Duties and Responsibilities:
- Perform competitive cost analysis and price to win estimates for strategic and highly visible proposal efforts.
- Work as an integral part of the capture and proposal team, assisting in the development of competitive pricing strategies, developing scoring sensitivity analyses, projecting competitive behaviors, identifying risks, and interpreting solicitation requirements.
- Act as a member of the core capture team on high visibility opportunities.
- Coordinate the collection and dissection of competitive proposal data gathered from internal and external sources and databases including Gov Win, Dun & Bradstreet, and the internal FOIA process.
- Interface with sales, business development and capture management regarding competitive positioning and analyses, including the reconciliation of price to win projections to the proposed cost and price model.
- May participate in the negotiation of contract awards if needed.
- Provide guidance and work leadership to members of the proposal and capture teams to be used for proposal strategy development.
- Maintain current knowledge of the competitive landscape and maintain and update data repositories with the results of proposed procurements.
- Participate in strategy meetings, status meetings and senior management reviews including the presentation of competitive analyses and recommendations.
- Bachelor’s Degree in Business Administration/Management, Accounting or Financial Management or a related business discipline, or the equivalent combination of education, professional training or work experience.
- 10+ years of Price to Win (preferred) experience, Pricing, or financial proposal experience in State and Local Health and Human Services competitive procurements.
- Solid understanding of the State and Local government competitive pricing market and procurement tendencies.
- Strong communication and inter-personal skills and ability work to with and present recommendations to senior and executive management.
- Knowledge and understanding of statistical methods for forecasting and projecting competitive behavior.
-Proficiency in word processing, spreadsheet, or other related software programs.
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