Overview:
The Head of AI Acceleration is responsible for driving AI strategy execution and adoption across DexKo. 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.
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
Drive Enterprise AI Execution:
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
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
Standards, Governance, and Ways of Working
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
Provide Visibility to Leadership:
Deliver clear, concise reporting to ELT and stakeholders on:
Pipeline status
Initiative progress
Business impact
Risks and dependencies
Create transparency and accountability across the AI portfolio
Key Interfaces:
Chief Business Strategy & Transformation Officer
Business Unit Leaders
AI Business Partners (dotted-line alignment)
Central AI / Data / Technology teams
Functional leaders (Operations, Finance, Purchasing, etc.)
Success in this role will result in the following:
AI initiatives consistently move from idea to production without stalling
Clear visibility into pipeline, priorities, and impact across the enterprise
Strong alignment between business units and technical teams
Measurable business value delivered at increasing scale
AI becomes embedded in how work is done—not isolated pilots
Qualifications
Ideal Attributes
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
Experience & Knowledge
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
Working Conditions
Travel frequency: Up to 25%