AI Enablement Lead

Requirements:

• 6–10 years of experience 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 ability to translate business problems into actionable requirements for engineering and IT, and explain technical constraints in terms business leaders can use
• Strong product management skills, including prioritization, requirements definition, roadmap and schedule management, and balancing business, client, engineering, and IT demands across cross-functional workstreams
• Demonstrated ability to translate AI initiatives into business outcomes in time, cost, quality, and speed
• Confidence coaching executives and challenging traditional ways of working
• Executive-level written and verbal communication skills
• Ability to work across US and Asia time zones
• Supply chain or logistics experience, consulting background, or a degree in AI, Computer Science, or Data Science is a plus, but not required

Responsibilities:

• Work closely with the CEO and C-Suite to identify business problems and opportunities where AI can improve execution
• Translate executive priorities into AI use cases and requirements, assess business value and technical feasibility with engineering and IT, and recommend solutions and delivery approaches
• Lead priority initiatives from definition through delivery, managing scope, trade-offs, timelines, and stakeholder alignment while engineering and IT carry out technical work
• Advise leadership on AI strategy, tools, and emerging opportunities
• Develop and evolve our AI governance framework, including policies, standards, decision rights, and responsible-use guardrails
• Set standards for AI tools, vendors, and workflows, including evaluation, piloting, scaling, and retirement
• Partner with engineering and IT to incorporate architecture, integration, security, data, and support requirements into tool and product decisions
• Maintain guardrails that support rapid progress while limiting fragmented tools, duplicated effort, and unapproved AI use
• Collaborate with HR, Legal, Compliance, and functional leaders to keep governance aligned with AI use across the business
• Identify and prioritize high-return AI use cases across operations, customer delivery, finance, and HR, maintaining a portfolio and backlog that balances value, user needs, and technical feasibility
• Turn priority use cases into product requirements, roadmaps, and delivery plans, and coordinate with engineering and IT on priorities, dependencies, and implementation
• Manage cross-functional delivery, resolve trade-offs, and keep initiatives on track through launch and adoption
• Create reusable AI workflows, prompts, and playbooks for consistent use across teams and geographies
• Promote adoption through training, documentation, and internal showcases, and report outcomes using adoption, time-saved, quality, and cost metrics

Technologies:

• AI
• AI Agents
• CTO
• Support
• Security

More

We are one of the most AI-forward companies in our sector, and this newly created AI Enablement Lead role reports to the CTO, with direct access to the CEO and C-Suite. The role works across business leadership, engineering, and IT to turn AI opportunities into products, workflows, and capabilities, while building governance that can scale across our US and Asia operations. Its central aim is to create measurable business value by moving AI initiatives from definition through delivery and adoption.

last updated 44 week of 2026