Lead, EEI Business Development AI Solutions and Strategy

ICF

Reston (VA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

ICF is seeking a Lead for EEI Business Development AI Solutions and Strategy to drive AI-enabled modernization across pursuit workflows, proposals, and programmatic solutions for selling teams. You will identify high-value AI use cases and scale them within EEI markets and services.

The role collaborates with risk, compliance, technology, and BD stakeholders to establish guardrails, evaluation rubrics, and measurable impact on governance and adoption of AI tools.

Qualifications

  • 6+ years of experience in operations, sales enablement, consulting, or program delivery.
  • Bachelor's degree.
  • 2+ years using enterprise collaboration and productivity tools (Teams/SharePoint/Excel/PowerPoint/Word).
  • 2+ years hands-on experience with AI and/or generative AI tools for research, content development, workflow automation, or knowledge synthesis.
  • Strong meeting facilitation and influence skills to drive change management.

Responsibilities

  • Hands-on role advancing AI-enabled modernization across EEI BD activities, workflows, and processes—from pursuits to proposals.
  • Identify, validate, and scale high-value AI use cases to improve pursuit speed, output quality, and adoption.
  • Partner with risk, compliance, technology, and BD stakeholders to ensure guardrails, usage standards, and measurement of AI impact and governance.

Skills

Frontier models
BD processes
Prioritization

Education

Bachelor's degree

Tools

Microsoft Teams
SharePoint
Excel
PowerPoint
Word

Job description

Description Do you want to help drive one of the most ambitious AI transformation efforts in sales and proposal development across ICF's Energy, Environment & Infrastructure (EEI) Group? If you have experience enabling generative AI, modernizing pursuit workflows, and scaling repeatable capabilities and productized agents, with strong governance, this role offers a unique opportunity to make a lasting impact on how EEI wins work across markets and services.

Description Do you want to help drive one of the most ambitious AI transformation efforts in sales and proposal development across ICF's Energy, Environment & Infrastructure (EEI) Group? If you have experience enabling generative AI, modernizing pursuit workflows, and scaling repeatable capabilities and productized agents, with strong governance, this role offers a unique opportunity to make a lasting impact on how EEI wins work across markets and services.

Work You'll Do As Lead, EEI Business Development AI Solutions and Strategy you will play a hands‑on role in advancing AI‑enabled modernization across EEI business development activities, workflows, and processes—from pursuits to proposals to programmatic solutions for selling teams. You will help identify, validate, and scale high‑value AI use cases that improve pursuit speed, output quality, and adoption. Partner with risk, compliance, technology, and BD stakeholders to ensure appropriate guardrails, usage standards, review points, and measurement of AI impact on governance, and adoption.

  • Support intake, evaluation, and prioritization of AI-enabled pursuit and sales use cases by assessing business value, feasibility, risk considerations, and readiness to scale.
  • Design and operate a structured process for training, testing, and evaluating AI agents and prompts — for example, developing evaluation rubrics, running the same prompt across multiple skill or agent versions, comparing outputs against defined quality criteria, and scaling the highest‑performing configuration.
  • Monitor emerging AI capabilities for sales and proposal development and support rapid validation efforts to inform scaling decisions.
  • Help transition validated use cases into repeatable, platform‑embedded capabilities by supporting integration into EEI's standard pursuit workflows and seller processes, including MEDDPICC pursuit methodologies and EEI value proposition frameworks.
  • Coordinate execution across BD, Technology, and Delivery teams to accelerate deployment and adoption of these tools, and to maintain alignment across initiatives.
  • Support enablement, adoption, and continuous improvement through training, communications, success measures, usage monitoring, CRM hygiene, and knowledge reuse practices.
  • Coordinate with learning and development teams to develop and deliver training to selling teams across EEI on new workflows, processes, and tools.

Skills For Success

  • Hands‑on experience with different frontier models, including ability to build skills and detailed project instructions
  • Knowledge of Business Development processes and methodologies, such as MEDDICC, BANT, or Insight Selling
  • Ability to manage and prioritize multiple tasks in a fast‑paced, dynamic environment

Qualifications

Required:

  • 6+ years of experience in operations, sales enablement, consulting, or program delivery
  • Bachelor's degree
  • 2+ years of experience using enterprise collaboration and productivity tools, including Microsoft Teams, SharePoint, Excel, PowerPoint, and Word, and supporting virtual enablement sessions
  • 2+ years of hands‑on experience using artificial intelligence (AI) and/or generative AI tools for research, content development, workflow automation, or knowledge synthesis
  • Strong meeting facilitation and influence skills to drive change management

Preferred

  • Experience designing or running structured evaluation methods for AI agents or prompts (e.g., comparative testing across model, prompt, or skill versions to select the best‑performing configuration)
  • CRM experience, technical Dynamics capability and data knowledge
  • Experience integrating AI‑enabled workflows into platforms used by sales teams, and supporting training, enablement, and reinforcement
  • Experience supporting or contributing to pursuits across Federal, State & Local, or Commercial/Utility clients, including proposal development environments and seller or pursuit workflows
  • Experience with process mapping, process re‑engineering, workflow design, or translating business needs into user stories, process flows, or requirements
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