Head of AI Acceleration

Responsibilities

• Drive Adoption and Business Impact: 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
• Shape and Execute AI Roadmap: 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
• Build Organizational Capability: 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)
• 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
• Orchestrate a Federated AI Model: 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

Qualifications

• Execution-focused: drives outcomes, not just strategy
• Influential: able to lead without direct authority
• Pragmatic: balances speed with structure
• Credible: trusted by both business and technical stakeholders
• Resilient: able to push through resistance and ambiguity
• Years of experience: 7-15 years
• Proven experience leading large-scale, cross-functional initiatives in a complex organization
• Strong track record of driving execution and delivering measurable business outcomes
• Experience working across business and technology teams
• Familiarity with AI, data, and advanced analytics (deep technical expertise not required, but strong fluency expected)
• Experience operating in a matrixed model