VP Enterprise AI Enablement

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VP Enterprise AI Enablement Position Summary The VP Enterprise AI Enablement is a senior, enterprise-wide leadership role responsible for accelerating the effective adoption and practical use of artificial intelligence across the organization, reporting directly to the Chief Executive Officer.

The role is designed to drive measurable improvements in productivity, speed, accuracy, decision quality, and professional execution through the disciplined and widespread application of AI across all functions of the business. This includes—but is not limited to—operations, engineering, supply chain, finance, legal, human resources, commercial functions, and executive decision-making.

This position has been established as a Board-level strategic priority to ensure the company remains competitive, expands margin, and continues to perform at a level consistent with a global industry leader.

Organizational Context Approximately $2.5B in annual revenue

Multinational manufacturing and industrial enterprise

Strong focus on earnings performance, operational excellence, and competitive differentiation

Complex, globally distributed organization with mature leadership and functional depth

Role Scope and Intent This role is focused on enterprise enablement and value creation , not technology ownership.

The VP will:

Drive adoption of AI as a practical business tool Establish disciplined but lightweight processes for identifying, validating, and scaling high-value AI use cases

Build momentum and enthusiasm for AI usage across the organization

Ensure senior leadership is informed, aligned, and actively engaged

Operate with a small footprint, leveraging influence, judgment, and internal partnerships rather than large teams, and evolve into a fit‑for‑purpose team over time as enterprise adoption, value realization, and scale justify additional dedicated resources

The role will not :

Own or manage IT infrastructure, systems, or cybersecurity

Serve as a CIO, CTO, CDO, or successor to those roles

Build or operate large technical teams

Function as a research or experimentation labKey Responsibilities Enterprise AI Enablement Identify and prioritize high-impact AI use cases across all business functions

Translate AI capabilities into practical, repeatable applications that improve day-to-day work Promote consistent, responsible, and effective use of AI tools across the enterprise

Focus on outcomes such as productivity improvement, error reduction, cycle-time compression, and improved decision quality

Leadership Alignment and Engagement Educate and advise the CEO, Executive Leadership Team, and Board on AI-related opportunities and implications

Secure senior leadership sponsorship and commitment to enterprise adoption

Serve as a trusted advisor to functional leaders on where and how AI can create value

Operating Model and Execution Establish a structured yet agile framework for:

Use-case intake and prioritization

Rapid testing and validation

Scaling successful applications

Operate effectively with minimal dedicated staff, relying on internal champions and cross-functional collaboration

Maintain a strong bias toward speed, clarity, and tangible results

Cultural Impact Encourage curiosity, experimentation, and responsible innovation

Help embed AI usage into standard workflows rather than isolated initiatives

Raise overall standards of professionalism, consistency, and execution quality across the organization

Measures of Success Success in this role will be demonstrated by:

Broad-based adoption of AI tools and methods across functions

Tangible improvements in productivity, efficiency, and decision quality

Visible engagement and advocacy from senior leadershipA repeatable, sustainable approach to AI-enabled value creation

Enhanced competitive positioning and…