AI Enablement Lead

About the role

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.

Responsibilities

• Turn C‑Suite priorities into AI‑enabled solutions: embed with the CEO and C‑Suite, attend key meetings, capture emerging initiatives, and frame business problems 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: evolve the AI governance framework, including policies, standards, decision rights, and guardrails for responsible AI use.
• Define standards for approved AI tools, vendors, and workflows, including evaluation, piloting, scaling, and retirement processes.
• 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 AI usage across the business.
• Identify and prioritize high‑ROI use cases across operations, customer delivery, finance, and HR; maintain a portfolio and backlog that balances business value, user needs, and technical feasibility.
• Translate priority use cases into product requirements, roadmaps, and delivery plans; 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, internal showcases, and provide leadership clear visibility into outcomes via adoption, time‑saved, quality, and cost metrics.

Requirements

• 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.
• Executive‑level communication skills, both written and verbal, with the ability to coach executives and challenge traditional ways of working.

Skills

• Experience with large language models (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 that engineering and IT can act on, and to translate technical constraints into business decisions.
• Strong product management skills: prioritization, requirements definition, roadmap and schedule management, and balancing business, client, engineering, and IT demands across cross‑functional workstreams.
• Proven ability to translate AI into measurable business outcomes across time, cost, quality, and speed.

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.
• Chance to shape the capability and its future impact across the organization.

Pay

$160‑200K plus bonus

Schedule

3 days onsite, 2 days remote