Head of AI Acceleration

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%

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Worksite address

novi, MI, 48377, US

Who can apply

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