• Drive enterprise-wide adoption of AI tools and workflows across departments. • Partner with business leaders to identify operational inefficiencies and opportunities for AI integration. • Develop and implement AI-driven process improvements that enhance productivity and reduce manual work. • Act as an internal consultant to business teams on AI use cases and workflow optimization. • Help establish AI best practices and promote responsible AI usage across the organization. • Collaborate with cross-functional departments to translate business needs into scalable AI solutions. • Help manage organizational change related to AI implementation and workflow transformation. • Build resources, documentation, and SOPs related to AI usage and processes. • Lead the implementation and optimization of AI tools and platforms. • Track and report on AI initiative outcomes, adoption metrics, productivity improvements, and operational impact. • Help ensure AI usage aligns with company policies, compliance requirements, and operational goals. • Maintain organized documentation related to AI initiatives, workflows, and training materials.

• Own the client-CEO relationship and the executive steering committee — as a peer, with real decision rights. • Run the transformation cadence: weekly reviews, monthly finance-verified value reviews, and quarterly business reviews. • Drive a fast, fixed-scope first win on the client's real data, then lead the full rollout (leadership first, then the wider team). • Translate client problems into crisp, build-ready specs for remote engineers; own adoption and sign-off. • Be personally accountable for a finance-verified outcome the client can see in their P&L. • Build a portfolio of 2–3 marquee CEO accounts as each engagement matures. • Own end-to-end rollout management — from kick-off through adoption, sign-off, and handover — ensuring every phase lands on time and to a measurable outcome. • Codify the method after each deployment so the next one requires less ramp-up.

• Own the client-CEO relationship and the executive steering committee — as a peer, with real decision rights. • Run the transformation cadence: weekly reviews, monthly finance-verified value reviews, and quarterly business reviews. • Drive a fast, fixed-scope first win on the client's real data, then lead the full rollout (leadership first, then the wider team). • Translate client problems into crisp, build-ready specs for remote engineers; own adoption and sign-off. • Be personally accountable for a finance-verified outcome the client can see in their P&L. • Build a portfolio of 2–3 marquee CEO accounts as each engagement matures. • Own end-to-end rollout management — from kick-off through adoption, sign-off, and handover — ensuring every phase lands on time and to a measurable outcome. • Codify the method after each deployment so the next one requires less ramp-up.

• Own the client-CEO relationship and the executive steering committee — as a peer, with real decision rights. • Run the transformation cadence: weekly reviews, monthly finance-verified value reviews, and quarterly business reviews. • Drive a fast, fixed-scope first win on the client's real data, then lead the full rollout (leadership first, then the wider team). • Translate client problems into crisp, build-ready specs for remote engineers; own adoption and sign-off. • Be personally accountable for a finance-verified outcome the client can see in their P&L. • Build a portfolio of 2–3 marquee CEO accounts as each engagement matures. • Own end-to-end rollout management — from kick-off through adoption, sign-off, and handover — ensuring every phase lands on time and to a measurable outcome. • Codify the method after each deployment so the next one requires less ramp-up.