Incendia Partners
AI Enablement Lead
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Glen Allen, VA, USA
Work mode:
Onsite
Published on:
15 September 2026
What they need
**AI Enablement Lead
Location: Richmond, VA
Work Schedule: 3 days onsite, 2 days remote
Salary: $160-200K plus bonus** AI Enablement Lead The AI Enablement Lead will own the path from business problem through prioritization, requirements, technical delivery, adoption, and measurement. Working across business leadership, engineering, and IT, the role will turn AI opportunities into products, workflows, and capabilities while building the governance needed to scale operations.
The mandate is to create measurable business value, using strong product management disciplines to move AI initiatives from definition through delivery and adoption.
The AI Enablement Lead will own three interconnected missions.
Turn C-Suite priorities into AI-enabled solutions
Embed with the CEO and C-Suite, attend key meetings, capture emerging initiatives, and frame the business problems and opportunities where AI can materially improve execution
Translate executive priorities into clear use cases and requirements, assess business value and technical feasibility with engineering and IT, and determine the right solution and delivery approach
Own priority initiatives from definition through delivery, managing scope, trade-offs, timelines, and stakeholder alignment while engineering and IT execute the technical work
Serve as a trusted thought partner to the leadership team on AI strategy, tooling, and emerging opportunity
Build the AI operating model and governance
Own and evolve the AI governance framework, including the policies, standards, decision rights, and guardrails for responsible AI use across the organization
Define standards for approved AI tools, vendors, and workflows, including how capabilities are evaluated, piloted, scaled, and retired
Work with engineering and IT to ensure architecture, integration, security, data, and support requirements are reflected in tooling and product decisions
Maintain guardrails that allow teams to move quickly while preventing fragmented tooling, duplicated effort, and shadow AI use
Partner with HR, Legal, Compliance, and functional leaders to keep governance aligned with how AI is being used across the business
Build and manage the enterprise AI portfolio
Identify and prioritize high-ROI use cases across operations, customer delivery, finance, and HR, maintaining a portfolio and backlog that balances business value, user needs, and technical feasibility
Translate priority use cases into product requirements, roadmaps, and delivery plans, and work with engineering and IT to manage priorities, dependencies, and implementation
Manage delivery across cross-functional workstreams, resolving trade-offs and keeping initiatives on schedule through launch and adoption
Build reusable AI workflows, prompts, and playbooks so common needs are solved once and adopted consistently across teams and geographies
Drive adoption through training, documentation, and internal showcases, and give leadership clear visibility into outcomes through adoption, time-saved, quality, and cost metrics
What You'll Bring
- 6 to 10 years in consulting, operations, transformation, product, or solutions engineering, including at least two years deploying AI in a commercial or operational setting
- Experience leading or contributing to an AI or transformation program from design through implementation
- Experience with LLMs, AI agents, automation platforms, prompt engineering, and retrieval-augmented workflows
- Hands-on experience using agentic coding tools to build or prototype independently
- Technical depth to translate business problems into requirements engineering and IT teams can act on, and technical constraints into decisions business leaders can make
- Strong product management skills, including prioritization, requirements definition, roadmap and schedule management, and the ability to balance business, client, engineering, and IT demands across cross-functional workstreams
- Proven ability to translate AI into business outcomes across time, cost, quality, and speed
- Comfortable coaching executives and challenging traditional ways of working
- Executive-level communication, written and verbal
Why this role
- Direct access to the C-Suite from day one
- Opportunity to build a new function from scratch and define how it develops
- We are looking for someone who wants to build this capability and shape what it becomes.
#ZR
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