VP of AI Strategy & Transformation

Public Consulting Group; United States; Hybrid; USD 275,000 - 350,000; Full time

Job summary

Public Consulting Group is seeking the Vice President of Intelligence to lead AI strategy and governance across the enterprise in the United States. The role focuses on AI transformation, building an enterprise-wide AI vision, and implementing governance to reduce risk while maximizing business value.

Ideal candidate has 10+ years in information or technology management, executive level, with experience in AI, data science, and software engineering.

Qualifications

• Bachelor’s degree; Master’s preferred in AI or data science.
• 10+ years in information/tech management, executive level, with some independent P&L responsibilities.
• 5+ years leading cross-functional, multidisciplinary teams and enterprise programs.

Responsibilities

• Strategic leadership to build AI-driven vision aligned with business goals.
• Fosters cross-organizational collaboration to execute AI roadmaps and governance.
• Chairs AI governance board and ensures compliant, auditable AI practices.
• Leads AI literacy and change management across the enterprise.
• Develops operating models to scale AI initiatives across the organization.

Skills

Bachelor’s Degree

Master’s degree preferred

10+ years of business experience

AI experience in information-intensive

AI engineering/advanced data science

AWS or Azure architecture

Strategy and management consulting

Leadership across cross-functional

P&L responsibilities

Regulatory and compliance knowledge

Education

Bachelor’s Degree

Master’s degree in AI or data science

Tools

AWS

Azure

Data governance tools

Job description

Public Consulting Group is seeking the Vice President of Intelligence to lead AI strategy and governance across the enterprise in the United States. The role focuses on AI transformation, building an enterprise-wide AI vision, and implementing governance to reduce risk while maximizing business value.

Ideal candidate has 10+ years in information or technology management, executive level, with experience in AI, data science, and software engineering.