Head of AI Acceleration

Dexter; Novi (MI); On-site; USD 180,000 - 240,000; Full time

Job summary

DexKo in Novi, Michigan is seeking a Head of AI Acceleration to drive AI strategy across the enterprise and accelerate adoption from idea to production with measurable impact.

You will lead the enterprise AI roadmap, empower AI Business Partners, and foster a culture of experimentation and responsible AI use while ensuring alignment with business goals. Travel up to 25% may be required.

Qualifications

• 7-15 years of experience leading large-scale cross-functional initiatives
• Strong track record of driving execution and delivering measurable business outcomes
• Experience operating in a matrixed organization
• Familiarity with AI, data, and advanced analytics

Responsibilities

• Drive Adoption and Business Impact: Ensure AI solutions are adopted and embedded into how work gets done
• Shape And Execute AI Roadmap: Translate enterprise strategy into a prioritized, actionable AI roadmap
• Build Organizational Capability: Develop AI capability via AI Business Partners and enablement programs
• Drive Enterprise AI Execution: Collaborate across business units, CoE, and external partners on end-to-end AI initiatives
• Orchestrate a Federated AI Model: Coordinate across Central AI, Business Partners, analysts for model governance
• Standards, Governance, and Ways of Working: Develop standards for use case development, deployment, lifecycle, ROI
• Provide Visibility To Leadership: Report pipeline status, initiative progress, and business impact to ELT
• Key Interfaces: Liaise with C-level, BU leaders, AI partners and Central AI teams

Skills

Execution-focused

Influential

Pragmatic

Credible

Resilient

Job description

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.

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%