Head of AI Acceleration

We are proud of what we do and where we are going at Dexter/Dex Ko, and we know that our great people are what makes us so exceptional. It is important to us that the people we invite onto our team are a good fit both technically and culturally, and that the feeling is mutual. The process we use to assess fit may be different than what you’ve experienced with other companies, and we have designed it that way for a reason.

If you have applied and are being considered for a position with us, this brief video will help you understand what to expect as you move through the Dexter/Dex Ko Selection Process.

The Head of AI Acceleration is responsible for driving AI strategy execution and adoption across Dex Ko. This role drives the enterprise AI direction and ensures initiatives move from idea to production at speed, delivering measurable business impact.

This leader works across business units, technical teams, and functional stakeholders to align priorities, remove barriers, and ensure consistent, scalable execution of AI initiatives.

This role is accountable for orchestrating efforts across the organization to accelerate progress and outcomes. As AI resources are distributed across the company, this role will need to coordinate and influence resources in other business functions and segments.

• Ensure AI solutions are not just built, but adopted and embedded into how work gets done
• Partner with business leaders to define changes in roles, processes, and decisions as a result of AI initiatives
• Establish adoption, usage, and impact metrics across all initiatives
• Monitor performance and drive continuous improvement post-deployment

• Translate enterprise strategy into a prioritized, actionable AI roadmap
• Balance quick wins with longer-term, high-impact initiatives
• Continuously refine priorities based on business needs and results

• Support the development of AI capability across the business through AI Business Partners, Training and enablement programs, and communication.
• Foster a culture of experimentation, learning, and responsible AI use
• Collaborate with business, CoE, and external partners on the end-to-end execution of AI initiatives through the pipeline (idea ? use case ? business case ? POC ? implementation ? production)
• Ensure initiatives progress at pace, with clear accountability and measurable outcomes
• Identify and remove barriers to execution across teams and functions
• Apply company-wide value stream lens to portfolio of projects to ensure holistic approach and project connectivity across business processes, functions, segments and geographies

• Align and coordinate across:
  Central AI / technical resources and CoE, Business Unit AI Business Partners, Business analysts and AI stewards embedded in functions
• Establish clear ways of working across this network to ensure consistency and efficiency
• Drive prioritization across competing initiatives and resources

• Collaborate with and provide feedback to CoE and AI Governance Council regarding standards for:
  Use case development, Business case rigor, Model deployment and lifecycle management, change management, ROI and benefit tracking
• Partner with governance bodies (e.g., AIGC) to ensure appropriate controls without slowing progress
• Ensure a repeatable, scalable approach to AI delivery

• Deliver clear, concise reporting to ELT and stakeholders on:
• Initiative progress
• Business impact
• Risks and dependencies
• Create transparency and accountability across the AI portfolio

• Chief Business Strategy…