The Enterprise AI Enablement and Adoption Lead is a senior leadership role responsible for accelerating Chemonics' enterprise-wide adoption of artificial intelligence and unlocking measurable business value from AI investments. This role sits at the intersection of strategy, technology, change management, and learning - translating AI capabilities into practical, high-impact applications across operations, project delivery, business development, and corporate functions.
The Lead will identify and prioritize AI use cases, partner with business units to embed AI into core workflows, build organizational AI fluency through training and a champions network, and ensure that adoption translates into measurable productivity, quality, and growth outcomes.
Success in this role requires a combination of deep understanding of Chemonics' business model and operational processes, proven ability to drive change at scale across a global organization, and fluency in modern AI tools.
Responsibilities:
AI Use Case Identification & Value Realization
- Define and maintain the AI Value Office, including a multi-year portfolio roadmap with phased milestones for internal AI enablement to meet the company’s AI native transition goal.
- Establish and track strategic KPIs tied to business outcomes: cost reduction, cycle time improvement, quality gains, and revenue enablement
- Establish and manage an enterprise-wide AI use case portfolio: intake, scoring, prioritization, and tracking of value delivered.
- Partner with enterprise stakeholders to identify high-impact opportunities to apply AI to existing processes.
- Define and track value metrics (productivity, cost savings, quality, employee experience) and report ROI to executive leadership.
- Build and maintain a roadmap of AI initiatives aligned to Chemonics’ corporate strategy, business line priorities, and global operating context
Governance & Responsible AI
- Partner with relevant teams (GC, RCC, IT Security etc) to ensure AI usage aligns with client requirements, data privacy regulations, and ethical standards.
- Embed responsible AI principles into all enablement activities and use case approvals.
- Develop and communicate clear policies and guardrails for staff use of AI tools.
- Define decision rights across the AI ecosystem - clarifying what requires AI Committee approval vs. COO approval vs. team-level authority
Solution Enablement & Tooling
- Curate and maintain a library of approved prompts, templates, and reusable AI assets tailored to Chemonics' workflows.
- Stay current on the AI tooling landscape and advise leadership on emerging capabilities.
- Lead AI transformation execution reviews to triage intake, remove delivery blockers, and assess deployment readiness
- Hold functional leads accountable for AI champion engagement, workflow redesign participation, and benefit realization milestones
Value Realization & Benefits Management
- Build and maintain a live AI Benefits Model tracking: hours recaptured, cycle time reduction, quality improvement, error rate reduction, and revenue enablement across all active AI projects
- Define measurement methodologies in partnership with Data & Analytics and Finance to ensure benefits are validated, not self-reported
- Ensure every deployed agent has a defined owner, a success metric, and a review date
Adoption, Enablement & Change Management
- Design and execute the enterprise AI adoption plans, including stakeholder engagement, communications, and resistance management.
- Lead culture-shift initiatives that build trust in AI, reduce fear, and embed an "AI-first" mindset across the organization.
- Lead the AI Champions Network: recruit, train, and support champions embedded in every business function and business line to scale adoption peer-to-peer.
- Track adoption depth (not just access): measure whether agents are being used, how often, by whom, and with what outcomes
- Build and deliver a tiered AI literacy and enablement curriculum - from foundational fluency for all staff to advanced practitioner training for power users.
- Design role-based learning paths (e.g., proposal writers, project managers, finance, HR, field operations etc).
- Develop training assets including guides, videos, demos, prompt libraries, and quick-start materials.
Process Excellence & Workflow Redesign
- Partner with business process owners across Corporate Shared Services (CSS), business lines, and field operations to identify, map, and redesign “automation-ready” workflows
- Develop and maintain standardized process templates to scope and size automation opportunities consistently
- Ensure that AI is applied to redesigned processes, not legacy ones - preventing the automation of inefficiency
Requirements:
- Masters degree (or Bachelors plus an additional 2 years experience); 12+ years of experience in enterprise transformation, process excellence, or strategic program management
- 8 years managing teams and/or staff
- Deep operational knowledge of professional services, international development, or government contracting environments - including Corporate Shared Services functions
- Demonstrated ability to manage a portfolio of initiatives simultaneously, with clear prioritization frameworks and benefit tracking
- Strong executive presence and cross-functional influence - able to drive accountability without direct authority
- Applied AI fluency: understands how AI agents work, what they can and cannot do, and how to evaluate AI solutions critically without deep technical coding skills
- Active personal use of AI tools in daily work; stays current on rapidly evolving AI trends, tools, and best practices.
- Experience designing and running governance frameworks, change management programs, and training curricula at scale
- Experience with the Microsoft 365 ecosystem at enterprise scale, including experience using Microsoft AI tools
- Experience managing external vendors, technology partners, and consulting engagements
- Demonstrated leadership, versatility and integrity